[1] Cohen W B, Yang Z Q, Healey S P et al. A LandTrendr multispectral ensemble for forest disturbance detection[J]. Remote Sensing of Environment, 205, 131-140(2018).
[2] Clark M L, Roberts D A, Clark D B. Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales[J]. Remote Sensing of Environment, 96, 375-398(2005).
[3] Wang Z W, Sun J J, Yu Z Y et al. Review of remote sensing image classification based on support vector machine[J]. Computer Science, 43, 11-17,31(2016).
[4] Zheng Y, Chen Q Q, Zhang Y J[J]. Deep learning and its new progress in object and behavior recognition Journal of Image and Graphics, 2014, 175-184.
[5] Hu W, Huang Y Y, Wei L et al[J]. Deep convolutional neural networks for hyperspectral image classification Journal of Sensors, 2015, 258619.
[6] Chen W X, Picard R W. Predicting perceived emotions in animated GIFs with 3D convolutional neural networks[C]∥2016 IEEE International Symposium on Multimedia (ISM), December 11-13, 2016, San Jose, CA, USA., 367-368(2016).
[10] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA., 770-778(2016).
[11] Liu J W, Liu Y, Luo X L. Research and development on deep learning[J]. Application Research of Computers, 31, 1921-1930,1942(2014).
[12] Wang X P. Protection and utilization of medicinal plant resources in Huangfu mountain nature reserve[J]. Chinese Traditional and Herbal Drugs, 32, 669-670(2001).
[13] Fan B, Chen X, Li B C et al. Technical innovation of optical remote sensing payloads onboard GF-5 satellite[J]. Infrared and Laser Engineering, 46, 8-14(2017).