Abstract

We reported a high resolution snapshot imaging spectrometer (HR-SIS) and a fusion algorithm based on the properties of the HR-SIS. The system consists of an imaging branch and a spectral branch. The imaging branch captures a high spatial resolution panchromatic image with 680 × 680 pixels, while the spectral branch acquires a low spatial resolution spectral image with spectral resolution of 250 cm−1. By using a fusion algorithm base on grouping principal component analysis, the spectral image is highly improved in spatial resolution. Experimental results demonstrated that the performance of the proposed algorithm is competitive with other state-of-the-art algorithms. The computing time for a single frame is less than 1 min with an Intel Core i5-4200H CPU, which can be further reduced by utilizing a graphics processing unit (GPU).

© 2016 Optical Society of America

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References

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2016 (2)

L. Gao and L. V. Wang, “A review of snapshot multidimensional optical imaging: measuring photon tags in parallel,” Phys. Rep. 616, 1–37 (2016).
[Crossref] [PubMed]

H. Ghassemian, “A review of remote sensing image fusion methods,” Inf. Fusion 32, 75–89 (2016).
[Crossref]

2015 (4)

L. Loncan, S. Fabre, L. B. Almeida, J. M. Bioucas-Dias, L. Wenzhi, X. Briottet, G. A. Licciardi, J. Chanussot, M. Simo, N. Dobigeon, J. Y. Tourneret, M. A. Veganzones, W. Qi, G. Vivone, and N. Yokoya, “Hyperspectral pansharpening: a review,” IEEE Geosci. Remote S. 3(3), 27–46 (2015).
[Crossref]

G. Vivone, L. Alparone, J. Chanussot, M. D. Mura, A. Garzelli, G. A. Licciardi, R. Restaino, and L. Wald, “A Critical Comparison Among Pansharpening Algorithms,” IEEE Trans. Geosci. Remote 53(5), 2565–2586 (2015).
[Crossref]

A. Hegyi and J. Martini, “Hyperspectral imaging with a liquid crystal polarization interferometer,” Opt. Express 23(22), 28742–28754 (2015).
[Crossref] [PubMed]

L. Wang, Z. Xiong, D. Gao, G. Shi, and F. Wu, “Dual-camera design for coded aperture snapshot spectral imaging,” Appl. Opt. 54(4), 848–858 (2015).
[Crossref] [PubMed]

2014 (4)

C. Ma, X. Cao, X. Tong, Q. Dai, and S. Lin, “Acquisition of High Spatial and Spectral Resolution Video with a Hybrid Camera System,” Int. J. Comput. Vis. 110(2), 141–155 (2014).
[Crossref]

C. Ma, X. Cao, R. Wu, and Q. Dai, “Content-adaptive high-resolution hyperspectral video acquisition with a hybrid camera system,” Opt. Lett. 39(4), 937–940 (2014).
[Crossref] [PubMed]

Y. Murakami, K. Nakazaki, and M. Yamaguchi, “Hybrid-resolution spectral video system using low-resolution spectral sensor,” Opt. Express 22(17), 20311–20325 (2014).
[Crossref] [PubMed]

S. Bennett and J. Lasenby, “ChESS – Quick and robust detection of chess-board features,” Comput. Vis. Image Un. 118, 197–210 (2014).

2013 (4)

N. Hagen and M. W. Kudenov, “Review of snapshot spectral imaging technologies,” Opt. Eng. 52(9), 090901 (2013).
[Crossref]

D. J. Mulla, “Twenty five years of remote sensing in precision agriculture: key advances and remaining knowledge gaps,” Biosystems Eng. 114(4), 358–371 (2013).
[Crossref]

G. Yang, “Bioimage informatics for understanding spatiotemporal dynamics of cellular processes,” Wiley Interdiscip. Rev. Syst. Biol. Med. 5(3), 367–380 (2013).
[Crossref] [PubMed]

N. Bedard, R. A. Schwarz, A. Hu, V. Bhattar, J. Howe, M. D. Williams, A. M. Gillenwater, R. Richards-Kortum, and T. S. Tkaczyk, “Multimodal snapshot spectral imaging for oral cancer diagnostics: a pilot study,” Biomed. Opt. Express 4(6), 938–949 (2013).
[Crossref] [PubMed]

2012 (2)

M. W. Kudenov and E. L. Dereniak, “Compact real-time birefringent imaging spectrometer,” Opt. Express 20(16), 17973–17986 (2012).
[Crossref] [PubMed]

F. D. van der Meer, H. M. A. van der Werff, F. J. A. van Ruitenbeek, C. A. Hecker, W. H. Bakker, M. F. Noomen, M. van der Meijde, E. J. M. Carranza, J. B. Smeth, and T. Woldai, “Multi- and hyperspectral geologic remote sensing: A review,” Int. J. Appl. Earth Obs. 14(1), 112–128 (2012).
[Crossref]

2010 (2)

2008 (2)

A. Wagadarikar, R. John, R. Willett, and D. Brady, “Single disperser design for coded aperture snapshot spectral imaging,” Appl. Opt. 47(10), B44–B51 (2008).
[Crossref] [PubMed]

C. Thomas, T. Ranchin, L. Wald, and J. Chanussot, “Synthesis of multispectral images to high spatial resolution: a critical review of fusion methods based on remote sensing physics,” IEEE T. Geosci. Remote 46(5), 1301–1312 (2008).
[Crossref]

2007 (2)

B. Aiazzi, S. Baronti, and M. Selva, “Improving component substitution pansharpening through multivariate regression of MS +Pan Data,” IEEE Trans. Geosci. Remote 45(10), 3230–3239 (2007).
[Crossref]

D. T. Dicker, J. M. Lerner, and W. S. El-Deiry, “Hyperspectral image analysis of live cells in various cell cycle stages,” Cell Cycle 6(20), 2563–2570 (2007).
[Crossref] [PubMed]

2006 (2)

R. M. Levenson and J. R. Mansfield, “Multispectral imaging in biology and medicine: slices of life,” Cytometry A 69(8), 748–758 (2006).
[Crossref] [PubMed]

B. Aiazzi, L. Alparone, S. Baronti, A. Garzelli, and M. Selva, “MTF-tailored multiscale fusion of high-resolution MS and pan imagery,” Photogramm. Eng. Remote Sensing 72(5), 591–596 (2006).
[Crossref]

2005 (1)

X. Otazu, M. G. Audicana, O. Fors, and J. Nunez, “Introduction of sensor spectral response into image fusion methods. application to wavelet-based methods,” IEEE Trans. Geosci. Remote 43(10), 2376–2385 (2005).
[Crossref]

2001 (1)

1997 (1)

L. Wald, T. Ranchin, and M. Mangolini, “Fusion of satellite images of different spatial resolutions: assessing the quality of resulting images,” Photogramm. Eng. Remote Sensing 63(6), 691–699 (1997).

1994 (1)

A. Hirai, T. Inoue, K. Itoh, and Y. Ichioka, “Application of multiple-image fourier transform spectral imaging to measurement of fast phenomena,” Opt. Rev. 1(2), 205–207 (1994).
[Crossref]

1992 (1)

V. K. Shettigara, “A generalized component substitution technique for spatial enhancement of multispectral images using a higher resolution data set,” Photogramm. Eng. Remote Sensing 58(5), 561–567 (1992).

1989 (1)

A. Toet, L. J. van Ruyven, and J. M. Valeton, “Merging thermal and visual images by a contrast pyramid,” Opt. Eng. 28(7), 789–792 (1989).
[Crossref]

1958 (1)

H. F. Kaiser, “The varimax criterion for analytic rotation in factor analysis,” Psychometrika 23(3), 187–200 (1958).
[Crossref]

Aiazzi, B.

B. Aiazzi, S. Baronti, and M. Selva, “Improving component substitution pansharpening through multivariate regression of MS +Pan Data,” IEEE Trans. Geosci. Remote 45(10), 3230–3239 (2007).
[Crossref]

B. Aiazzi, L. Alparone, S. Baronti, A. Garzelli, and M. Selva, “MTF-tailored multiscale fusion of high-resolution MS and pan imagery,” Photogramm. Eng. Remote Sensing 72(5), 591–596 (2006).
[Crossref]

Almeida, L. B.

L. Loncan, S. Fabre, L. B. Almeida, J. M. Bioucas-Dias, L. Wenzhi, X. Briottet, G. A. Licciardi, J. Chanussot, M. Simo, N. Dobigeon, J. Y. Tourneret, M. A. Veganzones, W. Qi, G. Vivone, and N. Yokoya, “Hyperspectral pansharpening: a review,” IEEE Geosci. Remote S. 3(3), 27–46 (2015).
[Crossref]

Alparone, L.

G. Vivone, L. Alparone, J. Chanussot, M. D. Mura, A. Garzelli, G. A. Licciardi, R. Restaino, and L. Wald, “A Critical Comparison Among Pansharpening Algorithms,” IEEE Trans. Geosci. Remote 53(5), 2565–2586 (2015).
[Crossref]

B. Aiazzi, L. Alparone, S. Baronti, A. Garzelli, and M. Selva, “MTF-tailored multiscale fusion of high-resolution MS and pan imagery,” Photogramm. Eng. Remote Sensing 72(5), 591–596 (2006).
[Crossref]

Audicana, M. G.

X. Otazu, M. G. Audicana, O. Fors, and J. Nunez, “Introduction of sensor spectral response into image fusion methods. application to wavelet-based methods,” IEEE Trans. Geosci. Remote 43(10), 2376–2385 (2005).
[Crossref]

Bakker, W. H.

F. D. van der Meer, H. M. A. van der Werff, F. J. A. van Ruitenbeek, C. A. Hecker, W. H. Bakker, M. F. Noomen, M. van der Meijde, E. J. M. Carranza, J. B. Smeth, and T. Woldai, “Multi- and hyperspectral geologic remote sensing: A review,” Int. J. Appl. Earth Obs. 14(1), 112–128 (2012).
[Crossref]

Baronti, S.

B. Aiazzi, S. Baronti, and M. Selva, “Improving component substitution pansharpening through multivariate regression of MS +Pan Data,” IEEE Trans. Geosci. Remote 45(10), 3230–3239 (2007).
[Crossref]

B. Aiazzi, L. Alparone, S. Baronti, A. Garzelli, and M. Selva, “MTF-tailored multiscale fusion of high-resolution MS and pan imagery,” Photogramm. Eng. Remote Sensing 72(5), 591–596 (2006).
[Crossref]

Bedard, N.

Bennett, S.

S. Bennett and J. Lasenby, “ChESS – Quick and robust detection of chess-board features,” Comput. Vis. Image Un. 118, 197–210 (2014).

Bhattar, V.

Bioucas-Dias, J. M.

L. Loncan, S. Fabre, L. B. Almeida, J. M. Bioucas-Dias, L. Wenzhi, X. Briottet, G. A. Licciardi, J. Chanussot, M. Simo, N. Dobigeon, J. Y. Tourneret, M. A. Veganzones, W. Qi, G. Vivone, and N. Yokoya, “Hyperspectral pansharpening: a review,” IEEE Geosci. Remote S. 3(3), 27–46 (2015).
[Crossref]

Brady, D.

Briottet, X.

L. Loncan, S. Fabre, L. B. Almeida, J. M. Bioucas-Dias, L. Wenzhi, X. Briottet, G. A. Licciardi, J. Chanussot, M. Simo, N. Dobigeon, J. Y. Tourneret, M. A. Veganzones, W. Qi, G. Vivone, and N. Yokoya, “Hyperspectral pansharpening: a review,” IEEE Geosci. Remote S. 3(3), 27–46 (2015).
[Crossref]

Cao, X.

C. Ma, X. Cao, X. Tong, Q. Dai, and S. Lin, “Acquisition of High Spatial and Spectral Resolution Video with a Hybrid Camera System,” Int. J. Comput. Vis. 110(2), 141–155 (2014).
[Crossref]

C. Ma, X. Cao, R. Wu, and Q. Dai, “Content-adaptive high-resolution hyperspectral video acquisition with a hybrid camera system,” Opt. Lett. 39(4), 937–940 (2014).
[Crossref] [PubMed]

Carranza, E. J. M.

F. D. van der Meer, H. M. A. van der Werff, F. J. A. van Ruitenbeek, C. A. Hecker, W. H. Bakker, M. F. Noomen, M. van der Meijde, E. J. M. Carranza, J. B. Smeth, and T. Woldai, “Multi- and hyperspectral geologic remote sensing: A review,” Int. J. Appl. Earth Obs. 14(1), 112–128 (2012).
[Crossref]

Chanussot, J.

L. Loncan, S. Fabre, L. B. Almeida, J. M. Bioucas-Dias, L. Wenzhi, X. Briottet, G. A. Licciardi, J. Chanussot, M. Simo, N. Dobigeon, J. Y. Tourneret, M. A. Veganzones, W. Qi, G. Vivone, and N. Yokoya, “Hyperspectral pansharpening: a review,” IEEE Geosci. Remote S. 3(3), 27–46 (2015).
[Crossref]

G. Vivone, L. Alparone, J. Chanussot, M. D. Mura, A. Garzelli, G. A. Licciardi, R. Restaino, and L. Wald, “A Critical Comparison Among Pansharpening Algorithms,” IEEE Trans. Geosci. Remote 53(5), 2565–2586 (2015).
[Crossref]

C. Thomas, T. Ranchin, L. Wald, and J. Chanussot, “Synthesis of multispectral images to high spatial resolution: a critical review of fusion methods based on remote sensing physics,” IEEE T. Geosci. Remote 46(5), 1301–1312 (2008).
[Crossref]

Dai, Q.

C. Ma, X. Cao, R. Wu, and Q. Dai, “Content-adaptive high-resolution hyperspectral video acquisition with a hybrid camera system,” Opt. Lett. 39(4), 937–940 (2014).
[Crossref] [PubMed]

C. Ma, X. Cao, X. Tong, Q. Dai, and S. Lin, “Acquisition of High Spatial and Spectral Resolution Video with a Hybrid Camera System,” Int. J. Comput. Vis. 110(2), 141–155 (2014).
[Crossref]

Dereniak, E. L.

Descour, M.

Dicker, D. T.

D. T. Dicker, J. M. Lerner, and W. S. El-Deiry, “Hyperspectral image analysis of live cells in various cell cycle stages,” Cell Cycle 6(20), 2563–2570 (2007).
[Crossref] [PubMed]

Dobigeon, N.

L. Loncan, S. Fabre, L. B. Almeida, J. M. Bioucas-Dias, L. Wenzhi, X. Briottet, G. A. Licciardi, J. Chanussot, M. Simo, N. Dobigeon, J. Y. Tourneret, M. A. Veganzones, W. Qi, G. Vivone, and N. Yokoya, “Hyperspectral pansharpening: a review,” IEEE Geosci. Remote S. 3(3), 27–46 (2015).
[Crossref]

El-Deiry, W. S.

D. T. Dicker, J. M. Lerner, and W. S. El-Deiry, “Hyperspectral image analysis of live cells in various cell cycle stages,” Cell Cycle 6(20), 2563–2570 (2007).
[Crossref] [PubMed]

Fabre, S.

L. Loncan, S. Fabre, L. B. Almeida, J. M. Bioucas-Dias, L. Wenzhi, X. Briottet, G. A. Licciardi, J. Chanussot, M. Simo, N. Dobigeon, J. Y. Tourneret, M. A. Veganzones, W. Qi, G. Vivone, and N. Yokoya, “Hyperspectral pansharpening: a review,” IEEE Geosci. Remote S. 3(3), 27–46 (2015).
[Crossref]

Fletcher-Holmes, D. W.

Ford, B.

Fors, O.

X. Otazu, M. G. Audicana, O. Fors, and J. Nunez, “Introduction of sensor spectral response into image fusion methods. application to wavelet-based methods,” IEEE Trans. Geosci. Remote 43(10), 2376–2385 (2005).
[Crossref]

Gao, D.

Gao, L.

Garzelli, A.

G. Vivone, L. Alparone, J. Chanussot, M. D. Mura, A. Garzelli, G. A. Licciardi, R. Restaino, and L. Wald, “A Critical Comparison Among Pansharpening Algorithms,” IEEE Trans. Geosci. Remote 53(5), 2565–2586 (2015).
[Crossref]

B. Aiazzi, L. Alparone, S. Baronti, A. Garzelli, and M. Selva, “MTF-tailored multiscale fusion of high-resolution MS and pan imagery,” Photogramm. Eng. Remote Sensing 72(5), 591–596 (2006).
[Crossref]

Ghassemian, H.

H. Ghassemian, “A review of remote sensing image fusion methods,” Inf. Fusion 32, 75–89 (2016).
[Crossref]

Gillenwater, A. M.

Gorman, A.

Hagen, N.

Harvey, A. R.

Hecker, C. A.

F. D. van der Meer, H. M. A. van der Werff, F. J. A. van Ruitenbeek, C. A. Hecker, W. H. Bakker, M. F. Noomen, M. van der Meijde, E. J. M. Carranza, J. B. Smeth, and T. Woldai, “Multi- and hyperspectral geologic remote sensing: A review,” Int. J. Appl. Earth Obs. 14(1), 112–128 (2012).
[Crossref]

Hegyi, A.

Hirai, A.

A. Hirai, T. Inoue, K. Itoh, and Y. Ichioka, “Application of multiple-image fourier transform spectral imaging to measurement of fast phenomena,” Opt. Rev. 1(2), 205–207 (1994).
[Crossref]

Howe, J.

Hu, A.

Ichioka, Y.

A. Hirai, T. Inoue, K. Itoh, and Y. Ichioka, “Application of multiple-image fourier transform spectral imaging to measurement of fast phenomena,” Opt. Rev. 1(2), 205–207 (1994).
[Crossref]

Inoue, T.

A. Hirai, T. Inoue, K. Itoh, and Y. Ichioka, “Application of multiple-image fourier transform spectral imaging to measurement of fast phenomena,” Opt. Rev. 1(2), 205–207 (1994).
[Crossref]

Itoh, K.

A. Hirai, T. Inoue, K. Itoh, and Y. Ichioka, “Application of multiple-image fourier transform spectral imaging to measurement of fast phenomena,” Opt. Rev. 1(2), 205–207 (1994).
[Crossref]

John, R.

Kaiser, H. F.

H. F. Kaiser, “The varimax criterion for analytic rotation in factor analysis,” Psychometrika 23(3), 187–200 (1958).
[Crossref]

Kester, R. T.

Kudenov, M. W.

N. Hagen and M. W. Kudenov, “Review of snapshot spectral imaging technologies,” Opt. Eng. 52(9), 090901 (2013).
[Crossref]

M. W. Kudenov and E. L. Dereniak, “Compact real-time birefringent imaging spectrometer,” Opt. Express 20(16), 17973–17986 (2012).
[Crossref] [PubMed]

Lasenby, J.

S. Bennett and J. Lasenby, “ChESS – Quick and robust detection of chess-board features,” Comput. Vis. Image Un. 118, 197–210 (2014).

Lerner, J. M.

D. T. Dicker, J. M. Lerner, and W. S. El-Deiry, “Hyperspectral image analysis of live cells in various cell cycle stages,” Cell Cycle 6(20), 2563–2570 (2007).
[Crossref] [PubMed]

Levenson, R. M.

R. M. Levenson and J. R. Mansfield, “Multispectral imaging in biology and medicine: slices of life,” Cytometry A 69(8), 748–758 (2006).
[Crossref] [PubMed]

Licciardi, G. A.

L. Loncan, S. Fabre, L. B. Almeida, J. M. Bioucas-Dias, L. Wenzhi, X. Briottet, G. A. Licciardi, J. Chanussot, M. Simo, N. Dobigeon, J. Y. Tourneret, M. A. Veganzones, W. Qi, G. Vivone, and N. Yokoya, “Hyperspectral pansharpening: a review,” IEEE Geosci. Remote S. 3(3), 27–46 (2015).
[Crossref]

G. Vivone, L. Alparone, J. Chanussot, M. D. Mura, A. Garzelli, G. A. Licciardi, R. Restaino, and L. Wald, “A Critical Comparison Among Pansharpening Algorithms,” IEEE Trans. Geosci. Remote 53(5), 2565–2586 (2015).
[Crossref]

Lin, S.

C. Ma, X. Cao, X. Tong, Q. Dai, and S. Lin, “Acquisition of High Spatial and Spectral Resolution Video with a Hybrid Camera System,” Int. J. Comput. Vis. 110(2), 141–155 (2014).
[Crossref]

Loncan, L.

L. Loncan, S. Fabre, L. B. Almeida, J. M. Bioucas-Dias, L. Wenzhi, X. Briottet, G. A. Licciardi, J. Chanussot, M. Simo, N. Dobigeon, J. Y. Tourneret, M. A. Veganzones, W. Qi, G. Vivone, and N. Yokoya, “Hyperspectral pansharpening: a review,” IEEE Geosci. Remote S. 3(3), 27–46 (2015).
[Crossref]

Lucchese, L.

S. K. Mitra and L. Lucchese, “Using saddle points for subpixel feature derection in camera calibattion targets,” in Proceedings of IEEE Asia-Pacific Conference on Circuits and Systems (IEEE, 2002), pp. 191–195.

Lynch, R.

Ma, C.

C. Ma, X. Cao, R. Wu, and Q. Dai, “Content-adaptive high-resolution hyperspectral video acquisition with a hybrid camera system,” Opt. Lett. 39(4), 937–940 (2014).
[Crossref] [PubMed]

C. Ma, X. Cao, X. Tong, Q. Dai, and S. Lin, “Acquisition of High Spatial and Spectral Resolution Video with a Hybrid Camera System,” Int. J. Comput. Vis. 110(2), 141–155 (2014).
[Crossref]

Mangolini, M.

L. Wald, T. Ranchin, and M. Mangolini, “Fusion of satellite images of different spatial resolutions: assessing the quality of resulting images,” Photogramm. Eng. Remote Sensing 63(6), 691–699 (1997).

Mansfield, J. R.

R. M. Levenson and J. R. Mansfield, “Multispectral imaging in biology and medicine: slices of life,” Cytometry A 69(8), 748–758 (2006).
[Crossref] [PubMed]

Martini, J.

Mitra, S. K.

S. K. Mitra and L. Lucchese, “Using saddle points for subpixel feature derection in camera calibattion targets,” in Proceedings of IEEE Asia-Pacific Conference on Circuits and Systems (IEEE, 2002), pp. 191–195.

Mulla, D. J.

D. J. Mulla, “Twenty five years of remote sensing in precision agriculture: key advances and remaining knowledge gaps,” Biosystems Eng. 114(4), 358–371 (2013).
[Crossref]

Mura, M. D.

G. Vivone, L. Alparone, J. Chanussot, M. D. Mura, A. Garzelli, G. A. Licciardi, R. Restaino, and L. Wald, “A Critical Comparison Among Pansharpening Algorithms,” IEEE Trans. Geosci. Remote 53(5), 2565–2586 (2015).
[Crossref]

Murakami, Y.

Nakazaki, K.

Noomen, M. F.

F. D. van der Meer, H. M. A. van der Werff, F. J. A. van Ruitenbeek, C. A. Hecker, W. H. Bakker, M. F. Noomen, M. van der Meijde, E. J. M. Carranza, J. B. Smeth, and T. Woldai, “Multi- and hyperspectral geologic remote sensing: A review,” Int. J. Appl. Earth Obs. 14(1), 112–128 (2012).
[Crossref]

Nunez, J.

X. Otazu, M. G. Audicana, O. Fors, and J. Nunez, “Introduction of sensor spectral response into image fusion methods. application to wavelet-based methods,” IEEE Trans. Geosci. Remote 43(10), 2376–2385 (2005).
[Crossref]

Otazu, X.

X. Otazu, M. G. Audicana, O. Fors, and J. Nunez, “Introduction of sensor spectral response into image fusion methods. application to wavelet-based methods,” IEEE Trans. Geosci. Remote 43(10), 2376–2385 (2005).
[Crossref]

Qi, W.

L. Loncan, S. Fabre, L. B. Almeida, J. M. Bioucas-Dias, L. Wenzhi, X. Briottet, G. A. Licciardi, J. Chanussot, M. Simo, N. Dobigeon, J. Y. Tourneret, M. A. Veganzones, W. Qi, G. Vivone, and N. Yokoya, “Hyperspectral pansharpening: a review,” IEEE Geosci. Remote S. 3(3), 27–46 (2015).
[Crossref]

Ranchin, T.

C. Thomas, T. Ranchin, L. Wald, and J. Chanussot, “Synthesis of multispectral images to high spatial resolution: a critical review of fusion methods based on remote sensing physics,” IEEE T. Geosci. Remote 46(5), 1301–1312 (2008).
[Crossref]

L. Wald, T. Ranchin, and M. Mangolini, “Fusion of satellite images of different spatial resolutions: assessing the quality of resulting images,” Photogramm. Eng. Remote Sensing 63(6), 691–699 (1997).

Restaino, R.

G. Vivone, L. Alparone, J. Chanussot, M. D. Mura, A. Garzelli, G. A. Licciardi, R. Restaino, and L. Wald, “A Critical Comparison Among Pansharpening Algorithms,” IEEE Trans. Geosci. Remote 53(5), 2565–2586 (2015).
[Crossref]

Richards-Kortum, R.

Schwarz, R. A.

Selva, M.

B. Aiazzi, S. Baronti, and M. Selva, “Improving component substitution pansharpening through multivariate regression of MS +Pan Data,” IEEE Trans. Geosci. Remote 45(10), 3230–3239 (2007).
[Crossref]

B. Aiazzi, L. Alparone, S. Baronti, A. Garzelli, and M. Selva, “MTF-tailored multiscale fusion of high-resolution MS and pan imagery,” Photogramm. Eng. Remote Sensing 72(5), 591–596 (2006).
[Crossref]

Shettigara, V. K.

V. K. Shettigara, “A generalized component substitution technique for spatial enhancement of multispectral images using a higher resolution data set,” Photogramm. Eng. Remote Sensing 58(5), 561–567 (1992).

Shi, G.

Simo, M.

L. Loncan, S. Fabre, L. B. Almeida, J. M. Bioucas-Dias, L. Wenzhi, X. Briottet, G. A. Licciardi, J. Chanussot, M. Simo, N. Dobigeon, J. Y. Tourneret, M. A. Veganzones, W. Qi, G. Vivone, and N. Yokoya, “Hyperspectral pansharpening: a review,” IEEE Geosci. Remote S. 3(3), 27–46 (2015).
[Crossref]

Smeth, J. B.

F. D. van der Meer, H. M. A. van der Werff, F. J. A. van Ruitenbeek, C. A. Hecker, W. H. Bakker, M. F. Noomen, M. van der Meijde, E. J. M. Carranza, J. B. Smeth, and T. Woldai, “Multi- and hyperspectral geologic remote sensing: A review,” Int. J. Appl. Earth Obs. 14(1), 112–128 (2012).
[Crossref]

Thomas, C.

C. Thomas, T. Ranchin, L. Wald, and J. Chanussot, “Synthesis of multispectral images to high spatial resolution: a critical review of fusion methods based on remote sensing physics,” IEEE T. Geosci. Remote 46(5), 1301–1312 (2008).
[Crossref]

Tkaczyk, T. S.

Toet, A.

A. Toet, L. J. van Ruyven, and J. M. Valeton, “Merging thermal and visual images by a contrast pyramid,” Opt. Eng. 28(7), 789–792 (1989).
[Crossref]

Tong, X.

C. Ma, X. Cao, X. Tong, Q. Dai, and S. Lin, “Acquisition of High Spatial and Spectral Resolution Video with a Hybrid Camera System,” Int. J. Comput. Vis. 110(2), 141–155 (2014).
[Crossref]

Tourneret, J. Y.

L. Loncan, S. Fabre, L. B. Almeida, J. M. Bioucas-Dias, L. Wenzhi, X. Briottet, G. A. Licciardi, J. Chanussot, M. Simo, N. Dobigeon, J. Y. Tourneret, M. A. Veganzones, W. Qi, G. Vivone, and N. Yokoya, “Hyperspectral pansharpening: a review,” IEEE Geosci. Remote S. 3(3), 27–46 (2015).
[Crossref]

Valeton, J. M.

A. Toet, L. J. van Ruyven, and J. M. Valeton, “Merging thermal and visual images by a contrast pyramid,” Opt. Eng. 28(7), 789–792 (1989).
[Crossref]

van der Meer, F. D.

F. D. van der Meer, H. M. A. van der Werff, F. J. A. van Ruitenbeek, C. A. Hecker, W. H. Bakker, M. F. Noomen, M. van der Meijde, E. J. M. Carranza, J. B. Smeth, and T. Woldai, “Multi- and hyperspectral geologic remote sensing: A review,” Int. J. Appl. Earth Obs. 14(1), 112–128 (2012).
[Crossref]

van der Meijde, M.

F. D. van der Meer, H. M. A. van der Werff, F. J. A. van Ruitenbeek, C. A. Hecker, W. H. Bakker, M. F. Noomen, M. van der Meijde, E. J. M. Carranza, J. B. Smeth, and T. Woldai, “Multi- and hyperspectral geologic remote sensing: A review,” Int. J. Appl. Earth Obs. 14(1), 112–128 (2012).
[Crossref]

van der Werff, H. M. A.

F. D. van der Meer, H. M. A. van der Werff, F. J. A. van Ruitenbeek, C. A. Hecker, W. H. Bakker, M. F. Noomen, M. van der Meijde, E. J. M. Carranza, J. B. Smeth, and T. Woldai, “Multi- and hyperspectral geologic remote sensing: A review,” Int. J. Appl. Earth Obs. 14(1), 112–128 (2012).
[Crossref]

van Ruitenbeek, F. J. A.

F. D. van der Meer, H. M. A. van der Werff, F. J. A. van Ruitenbeek, C. A. Hecker, W. H. Bakker, M. F. Noomen, M. van der Meijde, E. J. M. Carranza, J. B. Smeth, and T. Woldai, “Multi- and hyperspectral geologic remote sensing: A review,” Int. J. Appl. Earth Obs. 14(1), 112–128 (2012).
[Crossref]

van Ruyven, L. J.

A. Toet, L. J. van Ruyven, and J. M. Valeton, “Merging thermal and visual images by a contrast pyramid,” Opt. Eng. 28(7), 789–792 (1989).
[Crossref]

Veganzones, M. A.

L. Loncan, S. Fabre, L. B. Almeida, J. M. Bioucas-Dias, L. Wenzhi, X. Briottet, G. A. Licciardi, J. Chanussot, M. Simo, N. Dobigeon, J. Y. Tourneret, M. A. Veganzones, W. Qi, G. Vivone, and N. Yokoya, “Hyperspectral pansharpening: a review,” IEEE Geosci. Remote S. 3(3), 27–46 (2015).
[Crossref]

Vivone, G.

L. Loncan, S. Fabre, L. B. Almeida, J. M. Bioucas-Dias, L. Wenzhi, X. Briottet, G. A. Licciardi, J. Chanussot, M. Simo, N. Dobigeon, J. Y. Tourneret, M. A. Veganzones, W. Qi, G. Vivone, and N. Yokoya, “Hyperspectral pansharpening: a review,” IEEE Geosci. Remote S. 3(3), 27–46 (2015).
[Crossref]

G. Vivone, L. Alparone, J. Chanussot, M. D. Mura, A. Garzelli, G. A. Licciardi, R. Restaino, and L. Wald, “A Critical Comparison Among Pansharpening Algorithms,” IEEE Trans. Geosci. Remote 53(5), 2565–2586 (2015).
[Crossref]

Wagadarikar, A.

Wald, L.

G. Vivone, L. Alparone, J. Chanussot, M. D. Mura, A. Garzelli, G. A. Licciardi, R. Restaino, and L. Wald, “A Critical Comparison Among Pansharpening Algorithms,” IEEE Trans. Geosci. Remote 53(5), 2565–2586 (2015).
[Crossref]

C. Thomas, T. Ranchin, L. Wald, and J. Chanussot, “Synthesis of multispectral images to high spatial resolution: a critical review of fusion methods based on remote sensing physics,” IEEE T. Geosci. Remote 46(5), 1301–1312 (2008).
[Crossref]

L. Wald, T. Ranchin, and M. Mangolini, “Fusion of satellite images of different spatial resolutions: assessing the quality of resulting images,” Photogramm. Eng. Remote Sensing 63(6), 691–699 (1997).

Wang, L.

Wang, L. V.

L. Gao and L. V. Wang, “A review of snapshot multidimensional optical imaging: measuring photon tags in parallel,” Phys. Rep. 616, 1–37 (2016).
[Crossref] [PubMed]

Wenzhi, L.

L. Loncan, S. Fabre, L. B. Almeida, J. M. Bioucas-Dias, L. Wenzhi, X. Briottet, G. A. Licciardi, J. Chanussot, M. Simo, N. Dobigeon, J. Y. Tourneret, M. A. Veganzones, W. Qi, G. Vivone, and N. Yokoya, “Hyperspectral pansharpening: a review,” IEEE Geosci. Remote S. 3(3), 27–46 (2015).
[Crossref]

Willett, R.

Williams, M. D.

Woldai, T.

F. D. van der Meer, H. M. A. van der Werff, F. J. A. van Ruitenbeek, C. A. Hecker, W. H. Bakker, M. F. Noomen, M. van der Meijde, E. J. M. Carranza, J. B. Smeth, and T. Woldai, “Multi- and hyperspectral geologic remote sensing: A review,” Int. J. Appl. Earth Obs. 14(1), 112–128 (2012).
[Crossref]

Wu, F.

Wu, R.

Xiong, Z.

Yamaguchi, M.

Yang, G.

G. Yang, “Bioimage informatics for understanding spatiotemporal dynamics of cellular processes,” Wiley Interdiscip. Rev. Syst. Biol. Med. 5(3), 367–380 (2013).
[Crossref] [PubMed]

Yokoya, N.

L. Loncan, S. Fabre, L. B. Almeida, J. M. Bioucas-Dias, L. Wenzhi, X. Briottet, G. A. Licciardi, J. Chanussot, M. Simo, N. Dobigeon, J. Y. Tourneret, M. A. Veganzones, W. Qi, G. Vivone, and N. Yokoya, “Hyperspectral pansharpening: a review,” IEEE Geosci. Remote S. 3(3), 27–46 (2015).
[Crossref]

Appl. Opt. (2)

Biomed. Opt. Express (1)

Biosystems Eng. (1)

D. J. Mulla, “Twenty five years of remote sensing in precision agriculture: key advances and remaining knowledge gaps,” Biosystems Eng. 114(4), 358–371 (2013).
[Crossref]

Cell Cycle (1)

D. T. Dicker, J. M. Lerner, and W. S. El-Deiry, “Hyperspectral image analysis of live cells in various cell cycle stages,” Cell Cycle 6(20), 2563–2570 (2007).
[Crossref] [PubMed]

Comput. Vis. Image Un. (1)

S. Bennett and J. Lasenby, “ChESS – Quick and robust detection of chess-board features,” Comput. Vis. Image Un. 118, 197–210 (2014).

Cytometry A (1)

R. M. Levenson and J. R. Mansfield, “Multispectral imaging in biology and medicine: slices of life,” Cytometry A 69(8), 748–758 (2006).
[Crossref] [PubMed]

IEEE Geosci. Remote S. (1)

L. Loncan, S. Fabre, L. B. Almeida, J. M. Bioucas-Dias, L. Wenzhi, X. Briottet, G. A. Licciardi, J. Chanussot, M. Simo, N. Dobigeon, J. Y. Tourneret, M. A. Veganzones, W. Qi, G. Vivone, and N. Yokoya, “Hyperspectral pansharpening: a review,” IEEE Geosci. Remote S. 3(3), 27–46 (2015).
[Crossref]

IEEE T. Geosci. Remote (1)

C. Thomas, T. Ranchin, L. Wald, and J. Chanussot, “Synthesis of multispectral images to high spatial resolution: a critical review of fusion methods based on remote sensing physics,” IEEE T. Geosci. Remote 46(5), 1301–1312 (2008).
[Crossref]

IEEE Trans. Geosci. Remote (3)

X. Otazu, M. G. Audicana, O. Fors, and J. Nunez, “Introduction of sensor spectral response into image fusion methods. application to wavelet-based methods,” IEEE Trans. Geosci. Remote 43(10), 2376–2385 (2005).
[Crossref]

G. Vivone, L. Alparone, J. Chanussot, M. D. Mura, A. Garzelli, G. A. Licciardi, R. Restaino, and L. Wald, “A Critical Comparison Among Pansharpening Algorithms,” IEEE Trans. Geosci. Remote 53(5), 2565–2586 (2015).
[Crossref]

B. Aiazzi, S. Baronti, and M. Selva, “Improving component substitution pansharpening through multivariate regression of MS +Pan Data,” IEEE Trans. Geosci. Remote 45(10), 3230–3239 (2007).
[Crossref]

Inf. Fusion (1)

H. Ghassemian, “A review of remote sensing image fusion methods,” Inf. Fusion 32, 75–89 (2016).
[Crossref]

Int. J. Appl. Earth Obs. (1)

F. D. van der Meer, H. M. A. van der Werff, F. J. A. van Ruitenbeek, C. A. Hecker, W. H. Bakker, M. F. Noomen, M. van der Meijde, E. J. M. Carranza, J. B. Smeth, and T. Woldai, “Multi- and hyperspectral geologic remote sensing: A review,” Int. J. Appl. Earth Obs. 14(1), 112–128 (2012).
[Crossref]

Int. J. Comput. Vis. (1)

C. Ma, X. Cao, X. Tong, Q. Dai, and S. Lin, “Acquisition of High Spatial and Spectral Resolution Video with a Hybrid Camera System,” Int. J. Comput. Vis. 110(2), 141–155 (2014).
[Crossref]

Opt. Eng. (2)

N. Hagen and M. W. Kudenov, “Review of snapshot spectral imaging technologies,” Opt. Eng. 52(9), 090901 (2013).
[Crossref]

A. Toet, L. J. van Ruyven, and J. M. Valeton, “Merging thermal and visual images by a contrast pyramid,” Opt. Eng. 28(7), 789–792 (1989).
[Crossref]

Opt. Express (6)

Opt. Lett. (1)

Opt. Rev. (1)

A. Hirai, T. Inoue, K. Itoh, and Y. Ichioka, “Application of multiple-image fourier transform spectral imaging to measurement of fast phenomena,” Opt. Rev. 1(2), 205–207 (1994).
[Crossref]

Photogramm. Eng. Remote Sensing (3)

V. K. Shettigara, “A generalized component substitution technique for spatial enhancement of multispectral images using a higher resolution data set,” Photogramm. Eng. Remote Sensing 58(5), 561–567 (1992).

B. Aiazzi, L. Alparone, S. Baronti, A. Garzelli, and M. Selva, “MTF-tailored multiscale fusion of high-resolution MS and pan imagery,” Photogramm. Eng. Remote Sensing 72(5), 591–596 (2006).
[Crossref]

L. Wald, T. Ranchin, and M. Mangolini, “Fusion of satellite images of different spatial resolutions: assessing the quality of resulting images,” Photogramm. Eng. Remote Sensing 63(6), 691–699 (1997).

Phys. Rep. (1)

L. Gao and L. V. Wang, “A review of snapshot multidimensional optical imaging: measuring photon tags in parallel,” Phys. Rep. 616, 1–37 (2016).
[Crossref] [PubMed]

Psychometrika (1)

H. F. Kaiser, “The varimax criterion for analytic rotation in factor analysis,” Psychometrika 23(3), 187–200 (1958).
[Crossref]

Wiley Interdiscip. Rev. Syst. Biol. Med. (1)

G. Yang, “Bioimage informatics for understanding spatiotemporal dynamics of cellular processes,” Wiley Interdiscip. Rev. Syst. Biol. Med. 5(3), 367–380 (2013).
[Crossref] [PubMed]

Other (3)

M. C. Abrams, S. P. Davis and J. W. Brault, Fourier Transform Spectrometry (Academic, 2001), Chap. 8.

Signal and Image Processing Institute, University of Southern California, “The USC-SIPI Image Database,” http://sipi.usc.edu/database/

S. K. Mitra and L. Lucchese, “Using saddle points for subpixel feature derection in camera calibattion targets,” in Proceedings of IEEE Asia-Pacific Conference on Circuits and Systems (IEEE, 2002), pp. 191–195.

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Figures (14)

Fig. 1
Fig. 1 (a) Schematic of HR-SIS. (b) Polarization optical elements with optical axes indicated by arrows. Acronyms: Objective Lens (OL), Field Stop (FS), Polarizing Beam Splitter (PBS), Imaging Lens (IL), Focal Plane Array (FPA), Half-Wave Plate (HWP), Collimating Lens (CL), Lenslet Array (LA), Birefringent Polarization Interferometer (BPI) Nomarski Prism (NP), Analyzer (A).
Fig. 2
Fig. 2 Framework of proposed fusion algorithm based on GPCA.
Fig. 3
Fig. 3 Experimental prototype of the proposed system. Acronyms: Objective Lens (OL), Field Stop (FS), Polarizing Beam Splitter (PBS), Half-Wave Plate (HWP), Imaging Lens (IL), Focal Plane Array (FPA), Collimating Lens (CL), Lenslet Array (LA), Birefringent Polarization Interferometer (BPI).
Fig. 4
Fig. 4 (a) Xrite color checker. (b) Normalized root mean square error (NRMSE) in 24 color-block areas. (c) Spectral curves of color blocks from HR-SIS and AvaSpec (ground truth).
Fig. 5
Fig. 5 Spectral curves of color blocks (a) No.8, (b) No. 13, and (c) No. 18 from HR-SIS and AvaSpec (ground truth). (d) NRMSEs in the three color-block areas.
Fig. 6
Fig. 6 Spectrum of center point of the FOV with a fitted Gaussian curve (red dashed line).
Fig. 7
Fig. 7 (a) Composite image from the MS image before fusion. (b) Composite image from the MS image after fusion.
Fig. 8
Fig. 8 (a) RGB picture of the scene (white balance was corrected in Photoshop). (b) Spectra of two points on the leaf and the green artifacts respectively. (c) Spectral band at 655.2nm. (d) Spectral band at 713.2nm.
Fig. 9
Fig. 9 The relationships among the notation in Table 2
Fig. 10
Fig. 10 (a) Colorful maps with abundant spatial details. Among them, image No. 1-3 were homemade, and image No. 5-12 were obtained from the online image database [30]. Image No. 4 is an Xrite color checker. These pictures, except image No. 4, were printed by color printers (Epson Stylus Photo 1400 for No. 2, 6 and 8; Xerox Workcentre 7346 for No. 1, 3, 5 and 7; Canon iP2780 for No. 8-12). All pictures were taken by Canon 550D color digital camera and white balance was corrected in Photoshop. (b) Synthetic MS image and (c) downsampled PAN image of the map No. 13. (d) Correlation coefficients between the downsampled PAN images and synthetic MS images.
Fig. 11
Fig. 11 Evaluating results of different fusion algorithms. (a) ERGAS between M S d * and M S o . (b) CC and (c) SAM between M S o * and M S o . Note that the ideal values of the ERGAS, CC and SAM are 0, 1 and 0, respectively.
Fig. 12
Fig. 12 Comparison between fused MS images and upsampled MS images
Fig. 13
Fig. 13 (a) RGB picture of the color checker obtained by a commercial color camera. (b) The red line indicates the NRMSE between M S o * and M S o at the pixels along the red dotted line, while the blue line is the cross section profile of M S sum .
Fig. 14
Fig. 14 Computing time of the reconstruction and fusion algorithm.

Tables (2)

Tables Icon

Table 1 Number of Line Pairs / mm in USAF Resolving Power Test Target 1951

Tables Icon

Table 2 List of notation

Equations (17)

Equations on this page are rendered with MathJax. Learn more.

E T = J A J BPI J HW P 1 J T E I
Ε R = J R E I
Ε Τ = 1 2 [ 1 1 1 1 ][ 1 0 0 e i2πσΔ ] 2 2 [ 1 1 1 1 ][ 1 0 0 0 ][ E x E y ]= 2 4 E x (1+ e i2πσΔ )[ 1 1 ]
E R =[ 0 0 0 1 ][ E x E y ]=[ 0 E y ]
I FP A 2 = I x (σ) 2 [ 1+cos( 2πσΔ ) ]
I FP A 1 = I y (σ)
X=AF+ε
i=1 M λ i i=1 N λ i threshold
π(X)={ C 1 , C 2 ,..., C | π(X) | }
X= i=1 | π(X) | C i
π( X ˜ )={ C ˜ 1 , C ˜ 2 ,..., C ˜ | π( X ˜ ) | }
P C ^ 1 i =P C ˜ 1 i +α(P P L )
α= σ(P C ˜ 1 i ) σ(P) P C ˜ 1 i j=1 | π( X ˜ ) | P C ˜ 1 j
CC( X ^ , X ref )= 1 N i=1 N CCS( X ^ i , X i ref )
SAM( X ^ , X ref )= 1 m×n i=1 m j=1 n arccos( < x ^ i,j , x i,j ref > x ^ i,j 2 x i,j ref 2 )
ERGAS( X ^ , X ref )=100× 1 r 1 N i=1 N ( N×RMSE( X ^ i , X i ref ) j=1 N X i ref ) 2
RMSE( X ^ i , X i ref )= X ^ i X i ref F 2 m×n

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