[2] Rinker J N. Hyperspectral imagery: a new technique for targeting and intelligence[R]. Washington: Directorate for Information Operations and Reports, 1990: 2-7.
[3] Muller-Karger F, Roffer M, Walker N, et al. Satellite remote sensing in support of an integrated ocean observing system[J]. IEEE Geoscience and Remote Sensing Magazine, 2013, 1(4): 8-18.
[4] Zhang C Y, Cheng H F, Chen Z H, et al. The development of hyperspectral remote sensing and its threatening to military equipments[J]. Electro-Optic Technology Application, 2008, 23(1): 10-12
[5] Liu K L, Sun X J, Zhao Z Y, et al. Spectrum imaging test method for camouflage characteristic of ground target[J]. Journal of PLA University of Science and Technology (Natural Science Edition), 2005, 6(2): 166-169.
[6] Barrow H G, Tenenbaum J M. Recovering intrinsic scene characteristics from images[M]. New York: Academic Press, 1978: 3-26.
[7] Guo Y B. Research and application of intrinsic image decomposition algorithm[D]. Xiamen: Xiamen University, 2014: 14-16.
[8] Dai H P. Decomposition method and application of intrinsic image[D]. Tianjin: Tianjin University, 2014: 12-13.
[9] Yang B J. Geometric feature extraction and shape restoration algorithm based on RGB-D image[D]. Zhengzhou: Zhengzhou University, 2015: 9-11.
[10] Land E H, McCann J J. Lightness and retinex theory[J]. Journal of the Optical Society of America, 1971, 61(1): 1-11.
[11] Funt B V, Drew M S, Brockington M. Recovering shading from color images[J]. Lecture Notes in Computer Science, 1992, 588(12): 124-132.
[12] Tappen M F, Freeman W T, Adelson E H. Recovering intrinsic images from a single image[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(9): 1459-1472.
[13] Garces E, Munoz A, Lopez-Moreno J, et al. Intrinsic images by clustering[J]. Computer Graphics Forum, 2012, 31(4): 1415-1424.
[14] Bell S, Bala K, Snavely N. Intrinsic images in the wild[J]. ACM Transactions on Graphics, 2014, 33(4): 1-12.
[15] Bi S, Han X G, Yu Y Z. An L1 image transform for edge-preserving smoothing and scene-level intrinsic decomposition[J]. ACM Transactions on Graphics, 2015, 34(4): 1-12
[16] Yang X C. Research on solving method of intrinsic image based on learning and interaction[D]. Beijing: Beijing Institute of Technology, 2011: 7-10.
[17] Shen J B, Yang X S, Li X L, et al. Intrinsic image decomposition using optimization and user scribbles[J]. IEEE Transactions on Cybernetics, 2013, 43(2): 425-436.
[18] Zheng Y Q, Sato I, Sato Y. Illumination and reflectance spectra separation of a hyperspectral image meets low-rank matrix factorization[C]. IEEE Conference on Computer Vision and pattern Recognition, 2015: 1779-1787.
[19] Chen X. Intrinsic image decomposition of spectral images[D]. Nanjing: Nanjing University, 2017: 4-9.
[20] Dai Q H, Lin X , Xu C X, et al. Decomposition method and device for hyperspectral intrinsic image: CN104700109A[P]. 2015-06-10.
[21] Gu Y F, Zhang Y. Feature extraction based on automatic subspace partition for hyperspectral images[J]. Remote Sensing Technology and Application, 2003, 18(6): 384-387.
[22] Su H J, Sheng Y H, Du P J. Study on auto-subspace partition for band selection of hyperspectral image[J]. Geo-Information Science, 2007, 9(4): 123-128.