[1] Hou S W, Sun W F, Zheng X S. Overview of cloud detection methods in remote sensing images[J]. Space Electronic Technology, 11, 68-76, 86(2014).

[2] Yang L, Pan Z Q, Fu Q Y et al. Atmospheric correction of multi spectral data of ZY-3[J]. Spectroscopy and Spectral Analysis, 33, 1903-1906(2013).

[3] Zhao X. Research on cloud detection method for high resolution satellite remote sensing images[D]. Harbin: Harbin Institute of Technology, 40-47(2013).

[4] Hinton G E, Salakhuydinov R R. Reducing the dimensionality of data with neural networks[J]. Science, 313, 504-507(2006). http://logcom.oxfordjournals.org/cgi/ijlink?linkType=ABST&journalCode=sci&resid=313/5786/504

[5] Collobert R, Weston J. Anunified architecture for natural language processing: deep neural networks with multitask learning. [C]∥International Conference on Machine Learning, 5089-5096(2008).

[6] Bengio Y. Learning deep architectures for AI[J]. Foundations and Trends in Machine Learning, 2, 1-127(2009). http://jamia.oxfordjournals.org/lookup/external-ref?access_num=10.1561/2200000006&link_type=DOI

[7] Mohamed A R, Sainath T N, Dahl G et al. Deep belief networks using discriminative features for phone recognition. [C]∥IEEE International Conference on Acoustics, Speech and Signal Processing, 5060-5063(2011).

[8] Chan T H, Jia K, Gao S H et al. PCANet: a simple deep learning baseline for image classification[J]. IEEE Transactions on Image Processing, 24, 5017-5032(2015). http://ieeexplore.ieee.org/document/7234886

[9] Kavukcuoglu K, Ranzato M. -10-18)[2018-02-11]. https:∥arxiv., org/abs/1010, 3467(2010).

[10] Silver D, Huang A, Maddison C J et al. Mastering the game of go with deep neural networks and tree search[J]. Nature, 529, 484-489(2016). http://www.tandfonline.com/servlet/linkout?suffix=CIT0072&dbid=8&doi=10.1080%2F15481603.2018.1426091&key=26819042

[11] Li Z Q, Zhu R F, Gao F et al. Hyperspectral remote sensing image classification based on 3D-convolution neural network combined with conditional random field optimization[J]. Acta Optica Sinica, 38, 0828001(2018).

[12] LeCun Y, Bottou L, Bengio Y et al. . Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 86, 2278-2324(1998).

[13] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 60, 84-90(2017).

[14] Chen Y, Fan R S, Wang J X et al. High resolution image classification method combining with minimum noise fraction rotation and convolution neural network[J]. Laser & Optoelectronics Progress, 54, 102801(2017).

[15] Chen Y, Fan R S, Wang J X et al. Deep learning based on cloud detection for ZY-3 remote sensing image[J]. Acta Optica Sinica, 38, 0128005(2018).

[16] Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segmentation. [C]∥IEEE Conference on Computer Vision and Pattern Recognition, 3431-3440(2015).

[17] Liu X, Wang G H, Yang H C et al. Road extraction from remote sensing image based on fully convolutional networks[J]. Remote Sensing Information, 33, 69-75(2018).

[18] Simonyan K, Zisse R. -04-10)[2018-01-25]. https:∥arxiv.org/abs/1409.1556v6.(2015).