参考文献/References:
[1] 童庆禧,张兵,郑兰芬.高光谱遥感[M].北京:高等教育出版社,2006.
TONG Qingxi, ZHANG Bing, ZHENG Lanfen. Hyperspectral remote sensing[M]. Beijing: Higher Education Press, 2006.(in Chinese)
[2] BIOUCAS-DIAS J M, PLAZA A. An overview on hyperspectral unmixing: geometrical, statistical, and sparse regression based approaches[C]// IEEE Intemational Geoscience and Remote Sensing Symposium. Vancouver, Canada: IEEE, 2011:1135-1138.
[3] 李殊瑶.基于结构稀疏表示的高光谱图像解混[D].西安:西安电子科技大学,2015.
LI Shuyao. Hyperspectral image unmixing via structural sparse representation[D]. Xi’an: Xidian University, 2015.(in Chinese)
[4] IORDACHE M D, BIOUCAS-DIAS J M, PLAZA A. Sparse unmixing of hyperspectral data[J]. IEEE Transaction on Geoscience and Remote Sensing, 2011, 49(6): 2014-2039.
[5] ZHANG Shaoquan, LI Jun, LI Hengchao, et al. Spectral-spatial weighted sparse regression for hyperspectral image unmixing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(6): 3265-3276.
[6] FAN Wenyi, HU Baoxin, MILLER J, et al. Comparative study between a new nonlinear model and common linear model for analyzing laboratory simulated forest hyperspectral data[J]. International Journal of Remote Sensing, 2009, 30(11): 2951-2962.
[7] MALLAT S G, ZHANG Zzhifeng. Matching pursuits with time-frequency dictionaries[J]. IEEE Transaction on Signal Processing, 1993, 41(12):3397-3415.
[8] BRUCKSTEIN A M, ELAD M, ZIBULEVSKY M. On the uniqueness of nonnegative sparse solutions to underdetermined systems of equations[J]. IEEE Transaction on Information Theory, 2008, 54(11): 4813-4820.
[9] TROPP J A, GILBERT A C. Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE Transactions on Information Theory, 2007, 53(12): 4655-4666.
[10] TROPP J A, GILBERT A C, STRAUSS M J. Algorithms for simultaneous sparse approximation. part I: greedy pursuit[J]. Signal Processing, 2006, 86(3): 572-588.
[11] SHI Zhenwei, TANG Wei, DUREN Zhana, et al. Subspace matching pursuit for sparse unmixing of hyperspectral data[J]. IEEE Transaction on Geoscience and Remote Sensing, 2014, 52(6): 3256-3274.
[12] KONG Fanqiang, GUO Wenjun, LI Yunsong, et al. Backtracking-based simultaneous orthogonal matching pursuit for sparse unmixing of hyperspectral data[J]. Mathematical Problems in Engineering, 2015, 2015: 842017.
[13] 肖健钰.基于稀疏表示的高光谱图像解混算法研究[D].哈尔滨:哈尔滨工程大学,2015.
XIAO Jianyu. Hyperspectral imagery unmixing algorithm based on sparse representation[D]. Harbin: Harbin Engineering University, 2015.(in Chinese)
[14] LI Dan, ZHANG Chunmei, ZHOU Qianqi, et al. Subspace matching pursuit with Dice coefficient for sparse unmixing of hyperspectral data[C]// IEEE International Geoscience and Remote Sensing Symposium. Beijing: IEEE, 2016: 6585-6588.
[15] ZHONG Yanfei, ZHAO Lin, ZHANG Liangpei. An adaptive differential evolution endmember extraction algorithm for hyperspectral remote sensing imagery[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(6): 1061-1065.
[16] ZHONG Liang, LUO Wenfei, GAO Lianru. A particle swarm optimization algorithm for unmixing the polynomial post-nonlinear mixing model[C]// The 9th International Congress on Image and Signal Processing, Biomedical Engineering and Informatics. Datong, China: IEEE, 2017: 596-600.
[17] 陈雷, 郭艳菊, 葛宝臻.基于微分搜索的高光谱图像非线性解混算法[J].电子学报,2017,45(2):337-345.
CHEN Lei, GUO Yanju, GE Baozhen. Nonlinear unmixing of hyperspectral images based on differential search algorithm[J]. Acta Electronica Sinica, 2017, 45(2): 337-345.(in Chinese)
[18] 陈雷,甘士忠,孙茜.基于回溯优化的非线性高光谱图像解混[J].红外与激光工程,2017,46(6):225-232.
CHEN Lei, GAN Shizhong, SUN Qian. Nonlinear unmixing using backtracking optimization for hyperspectral images[J]. Infrared and Laser Engineering, 2017, 46(6): 225-232.(in Chinese)
[19] QUAN Jianing, KANG Zhilong, CHEN Lei, et al. Abundance estimation of crossover double particle swarms optimization for hyperspectral remote sensing imagery[J]. International Journal of Remote Sensing, 2018, 38(23): 1-25.
[20] MIRJALILI S, LEWIS A. The whale optimization algorithm[J]. Advances in Engineering Software, 2016, 95: 51-67.
[21] KENNEDY J, EBERHART R. Particle swarm optimization[C]// Proceedings of ICNN’95 IEEE International Conference on Neural Networks. Perth, Australia: IEEE, 2011: 1942-1948.
[22] RASHEDI E, NEZAMABADI-POUR H, SARYAZDI S. GSA: a gravitational search algorithm[J]. Information Sciences, 2009, 179(13): 2232-2248.
[23] KAVEH A, FARHOUDI N. A new optimization method: Dolphin echolocation[J]. Advances in Engineering Software, 2013, 59(5): 53-70.
[24] 高卫峰.人工蜂群算法及其应用的研究[D].西安:西安电子科技大学,2013.
GAO Weifeng.Artificial bee colony algorithm and its applications[D]. Xi’an: Xidian University, 2013.(in Chinese)
[25] SAREMI S, MIRJALILI S, LEWIS A. Grasshopper optimisation algorithm: theory and application[J]. Advances in Engineering Software, 2017, 105: 30-47.
[26] 张梅凤,邵诚.多峰函数优化的生境人工鱼群算法[J].控制理论与应用,2008,25(4):773-776.
ZHANG Meifeng, SHAO Cheng. Niche artificial fish swarm algorithm for multimodal function optimization[J]. Control Theory & Application, 2008, 25(4): 773-776.(in Chinese)
[27] BIOUCAS-DIAS J M, FIGUEIREDO M A T. Alternating direction algorithms for constrained sparse regression: application to hyperspectral unmixing[C]// The 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. Reykjavik, Iceland: IEEE, 2010: 1-4.
[28] IORDACHE M D, BIOUCAS-DIAS J M, PLAZA A. Total variation spatial regularization for sparse hyperspectral unmixing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(11): 4484-4502.
[29] IORDACHE M D, BIOUCAS-DIAS J M, PLAZA A. Collaborative sparse regression for hyperspectral unmixing[J]. IEEE Trans on Geoscience and Remote Sensing, 2013, 52(1): 341-354.
[30] QUINTANO C, SHIMABUKURO Y, PEREIRA G. Spectral unmixing[J]. International Journal of Remote Sensing, 2012, 33(17): 5307-5340.