Meta-analysis of deep neural networks in remote sensing: A comparative study of mono-temporal classification to support vector machines

作者: Shahriar S. Heydari , Giorgos Mountrakis

DOI: 10.1016/J.ISPRSJPRS.2019.04.016

关键词:

摘要: … gradient-based training of deep neural networks (DNNs) could … made it difficult to train and optimize in a practical manner. … opened new avenues to deep neural networks. The greedy …

参考文章(141)
David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams, Learning representations by back-propagating errors Nature. ,vol. 323, pp. 696- 699 ,(1988) , 10.1038/323533A0
Wei Hu, Yangyu Huang, Li Wei, Fan Zhang, Hengchao Li, Deep Convolutional Neural Networks for Hyperspectral Image Classification Journal of Sensors. ,vol. 2015, pp. 1- 12 ,(2015) , 10.1155/2015/258619
Jun Wang, Jingwei Song, Mingquan Chen, Zhi Yang, Road network extraction: a neural-dynamic framework based on deep learning and a finite state machine Journal of remote sensing. ,vol. 36, pp. 3144- 3169 ,(2015) , 10.1080/01431161.2015.1054049
Weixun Zhou, Zhenfeng Shao, Chunyuan Diao, Qimin Cheng, High-resolution remote-sensing imagery retrieval using sparse features by auto-encoder Remote Sensing Letters. ,vol. 6, pp. 775- 783 ,(2015) , 10.1080/2150704X.2015.1074756
Chen Xing, Li Ma, Xiaoquan Yang, Stacked Denoise Autoencoder Based Feature Extraction and Classification for Hyperspectral Images Journal of Sensors. ,vol. 2016, pp. 1- 10 ,(2016) , 10.1155/2016/3632943
Tomohiro Ishii, Ryosuke Nakamura, Hidemoto Nakada, Yoshihiko Mochizuki, Hiroshi Ishikawa, Surface object recognition with CNN and SVM in Landsat 8 images international conference on machine vision. pp. 341- 344 ,(2015) , 10.1109/MVA.2015.7153200
Hod Lipson, Jeff Clune, Thomas J. Fuchs, Jason Yosinski, Anh Mai Nguyen, Understanding Neural Networks Through Deep Visualization arXiv: Computer Vision and Pattern Recognition. ,(2015)
Wenzhi Zhao, Zhou Guo, Jun Yue, Xiuyuan Zhang, Liqun Luo, On combining multiscale deep learning features for the classification of hyperspectral remote sensing imagery Journal of remote sensing. ,vol. 36, pp. 3368- 3379 ,(2015) , 10.1080/2150704X.2015.1062157
Xiaorui Ma, Jie Geng, Hongyu Wang, Hyperspectral image classification via contextual deep learning Eurasip Journal on Image and Video Processing. ,vol. 2015, pp. 20- ,(2015) , 10.1186/S13640-015-0071-8
Matthew D. Zeiler, Rob Fergus, Visualizing and Understanding Convolutional Networks european conference on computer vision. pp. 818- 833 ,(2014) , 10.1007/978-3-319-10590-1_53