[1] Wang J, Qin Q M, Ye X et al. A survey of building extraction methods from optical high resolution remote sensing imagery[J]. Remote Sensing Technology and Application, 31, 653-662(2016).

[2] Chen H S, He H, Xiao H Y et al. Shadow detection in high spatial resolution remote sensing images based on spectral features[J]. Optics and Precision Engineering, 23, 484-490(2015).

[3] Makarau A, Richter R, Muller R et al. Adaptive shadow detection using a blackbody radiator model[J]. IEEE Transactions on Geoscience and Remote Sensing, 49, 2049-2059(2011). http://ieeexplore.ieee.org/document/5685658/

[4] Tsai V J D. A comparative study on shadow compensation of color aerial images in invariant color models[J]. IEEE Transactions on Geoscience and Remote Sensing., 44, 1661-1671(2006). http://ieeexplore.ieee.org/document/1634729/

[5] Yang J, Zhao Z M, Yang J. A shadow removal method for high resolution remote sensing image[J]. Geomatics and Information Science of Wuhan University, 33, 17-20(2008).

[6] Yao H Q, Yang S W, Liu Z J et al. A method of shadow detection for city tall ground objects based on QuickBird images[J]. Remote Sensing for Land and Resources, 27, 51-55(2015).

[7] Murali S, Govindan V K. Shadow detection and removal from a single image using LAB color space[J]. Cybernetics & Information Technologies, 13, 95-103(2013). http://www.degruyter.com/doi/10.2478/cait-2013-0009

[8] Liu H, Xie T W. Study on shadow detection in high resolution remote sensing image based on PCA and HSI model[J]. Remote Sensing Technology and Application, 28, 78-84(2013).

[9] Jung C R. Efficient background subtraction and shadow removal for monochromatic video sequences[J]. IEEE Transactions on Multimedia, 11, 571-577(2009). http://ieeexplore.ieee.org/document/4796296/

[10] Leone A, Distante C. Shadow detection for moving objects based on texture analysis[J]. Pattern Recognition, 40, 1222-1233(2007). http://www.sciencedirect.com/science/article/pii/S0031320306004146

[11] Xu J, Xiang W B, Mao Y B et al. Moving object shadow detection based on regional color clustering[J]. Computer Technology and Development, 26, 193-196(2016).

[12] Ai W L, Wu Z H, Liu Y L. Outdoor shadow detection with paired regions[J]. Journal of Image and Graphics, 20, 551-558(2015).

[13] Zhou X L, Guo J W, Liu K M. Water body information extraction based on operational land imager imagery and principal component analysis: A case study of Poyang Lake region[J]. Laser & Optoelectronics Progress, 53, 080104(2016).

[14] Shuai T, Zhang H Y, Zhang L P. The objected-based method of shadow detection in high-resolution remote sensing imagery[J]. Acta Photonica Sinica, 44, 1228002(2015).

[15] Li D W, Yang F B, Wang X X. Multisource remote sensing classification based on random forest and adaptive weighted D-S evidence synthesis[J]. Laser & Optoelectronics Progress, 53, 031001(2016).

[16] Deng L, Deng M J, Zhang L S. Optimization of shadow detection and compensation method for high-resolution remote sensing images[J]. Remote Sensing Technology and Application, 30, 277-284(2015).

[17] Su Y Z, Li A H, Jin G Z. el al. Multi-feature HSItogram back-projection for moving shadow detection[J]. Journal of Optoelectronics ·Laser, 25, 1395-1402(2014).

[18] Xu Y, Wei Z Y. An improved traffic sign image recognition algorithm[J]. Laser & Optoelectronics Progress., 54, 021001(2017).

[19] Duan Z G, Qu L Q, Tian J D et al. Outdoor illumination shadow detection based on orthogonal decomposition[J]. Acta Optica Sinica, 36, 0815002(2016).

[20] Levin A, Lischinski D, Weiss Y. A closed-form solution to natural image matting[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30, 228-242(2008). http://dl.acm.org/citation.cfm?id=1340234

[21] Su N, Zhang Y, Tian S et al. Shadow detection and removal for occluded object information recovery in urban high-resolution panchromatic satellite images[J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 9, 2568-2582(2016). http://ieeexplore.ieee.org/document/7488990/

[22] Liu D W, Han L, Han X Y. High spatial resolution remote sensing image classification based on deep learning[J]. Acta Optica Sinica, 36, 0428001(2016).

[23] Li P W, Ge W Y, Liu G Y. Shadow detection method based on shadow probability model for remote sensing images[J]. Journal of Computer Applications, 35, 510-514(2015).