Land Cover Classification via Multitemporal Spatial Data by Deep Recurrent Neural Networks
作者： Dino Ienco , Raffaele Gaetano , Claire Dupaquier , Pierre Maurel
DOI: 10.1109/LGRS.2017.2728698
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摘要: … The SoftMax layer has as many neurons as the number of the classes to predict. We choose the SoftMax instead of the sigmoid function, because the value of the SoftMax layer can be …
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Olivier Hagolle, Mireille Huc, David Villa Pascual, Gerard Dedieu, A Multi-Temporal and Multi-Spectral Method to Estimate Aerosol Optical Thickness over Land, for the Atmospheric Correction of FormoSat-2, LandSat, VENμS and Sentinel-2 Images Remote Sensing. ,vol. 7, pp. 2668- 2691 ,(2015) , 10.3390/RS70302668
M. Dalla Mura, S. Valero, R. Flamary, M. Fauvel, Analysis of Multitemporal Classification Techniques for Forecasting Image Time Series IEEE Geoscience and Remote Sensing Letters. ,vol. 12, pp. 953- 957 ,(2015) , 10.1109/LGRS.2014.2368988
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Andreas Müller, Joel Nothman, Gilles Louppe, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, Jake Vanderplas, Alexandre Passos, David Cournapeau, Matthieu Brucher, Matthieu Perrot, Édouard Duchesnay, Scikit-learn: Machine Learning in Python Journal of Machine Learning Research. ,vol. 12, pp. 2825- 2830 ,(2011)
Ken-ichiro Soma, Ryota Mori, Ryuichi Sato, Noriyuki Furumai, Shigetoshi Nara, Simultaneous multichannel signal transfers via chaos in a recurrent neural network Neural Computation. ,vol. 27, pp. 1083- 1101 ,(2015) , 10.1162/NECO_A_00715
Alex Graves, Abdel-rahman Mohamed, Geoffrey Hinton, Speech recognition with deep recurrent neural networks international conference on acoustics, speech, and signal processing. pp. 6645- 6649 ,(2013) , 10.1109/ICASSP.2013.6638947
Chih-Chung Chang, Chih-Jen Lin, LIBSVM ACM Transactions on Intelligent Systems and Technology. ,vol. 2, pp. 1- 27 ,(2011) , 10.1145/1961189.1961199
Y. Bengio, A. Courville, P. Vincent, Representation Learning: A Review and New Perspectives IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 35, pp. 1798- 1828 ,(2013) , 10.1109/TPAMI.2013.50
Yoshua Bengio, Yann N. Dauphin, Harm de Vries, Junyoung Chung, RMSProp and equilibrated adaptive learning rates for non-convex optimization. arXiv: Learning. ,(2015)
Anuj Karpatne, Zhe Jiang, Ranga Raju Vatsavai, Shashi Shekhar, Vipin Kumar, Monitoring Land-Cover Changes: A Machine-Learning Perspective IEEE Geoscience and Remote Sensing Magazine. ,vol. 4, pp. 8- 21 ,(2016) , 10.1109/MGRS.2016.2528038
Liangpei Zhang, Lefei Zhang, Bo Du, Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art IEEE Geoscience and Remote Sensing Magazine. ,vol. 4, pp. 22- 40 ,(2016) , 10.1109/MGRS.2016.2540798