[1] Li Xiaobin, Jiang Bitao, Yang Yuanbo, et al. A survey on object detection technology in optical remote sensing images[J]. Spacecraft Recovery and Remote Sensing, 2019, 40(4): 95-104.
[2] Liu Zheng, Mao Hongxia, Dai Congming, et al. Dim and small target association based on multi-source data and multi-feature fusion[J]. Infrared and Laser Engineering, 2019, 48(5): 0526001.
[3] Wang Lunwen, Feng Yanqing, Zhang Mengbo. Target detection method for optical remote sensing imagery[J]. System Engineering and Electronic, 2019, 41(10): 2163-2169.
[4] Wang Zhihu, Shen Xiaoqing, Gui Weilong. Survey of small targets detection technology in optical imaging[J]. Modern Defence Technology, 2020, 48(5): 67-73.
[5] Zhao Tao, Wang Zhenhua, Mao Hongxia, et al. Review on simulation methods of optical and electrical characteristics of dynamic scene[J]. Aerospace Shanghai, 2019, 36(4): 90-97.
[6] Luo Hongxia, Gong Jianya. Effects of linear and nonlinear spectra mixing models on simulating mixing spectra of soil and canopy[J]. Bulletin of Surveying and Mapping, 2005, (5): 6-9.
[7] Zhang Haonan, Wen Xingping, Xu Junlong, et al. Influence factors of decomposition precision of mixed-pixels based on CLSMM[J]. Remote Sensing Information, 2019, 34(3): 48-53.
[8] Yang Guang, Tian Zhangnan, Li Hao, et al. Research of target detection of hyperspectral images in complex background based on linear unmixing[J]. Laser Technology, 2020, 44(2): 143-147.
[10] Liu Zhaoxin, Zhao Liaoying, Li Xiaorun, et al. Linear feature detection for hyperspectral subpixel mapping[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(11): 1464-1474.
[11] Song Jiangtao, Pan Jun, Xing Lixin, et al. Applicable observational scale analysis of linear spectral mixture model[J]. Journal of Remote Sensing, 2019, 23(2): 262-279.
[12] Yan Guoqian, Zhao Yunsheng, Ning Yanlin, et al. Study on the main influencing factors of mixed-pixel spectral characteristics[J]. Spectroscopy and Spectral Analysis, 2009, 29(12): 3358-3361.
[14] Ichoku C, Karnieli A. A review of mixture modeling techniques for sub-pixcel land cover estimation[J]. Remote Sensing Reviews, 1996, 13(3/4): 161-186.
[15] Gao Lianru, Sun Xu, Luo Wenfei, et al. Swarm intelligence algorithms for spectral unmixing in hyperspectral image[J]. Journal of Nanjing University of Information Science and Technology (Natural Science Edition), 2018, 10(1): 81-91.