Training Deep Convolutional Neural Networks for Land–Cover Classification of High-Resolution Imagery
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Curt H. Davis | Grant J. Scott | Richard A. Marcum | Matthew R. England | William A. Starms | G. Scott | C. Davis | Matthew England
[1] Yihua Tan,et al. Unsupervised Multilayer Feature Learning for Satellite Image Scene Classification , 2016, IEEE Geoscience and Remote Sensing Letters.
[2] Xiang Zhang,et al. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks , 2013, ICLR.
[3] Shawn D. Newsam,et al. Bag-of-visual-words and spatial extensions for land-use classification , 2010, GIS '10.
[4] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[5] Takumi Kobayashi,et al. Dirichlet-Based Histogram Feature Transform for Image Classification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[7] Jefersson Alex dos Santos,et al. Do deep features generalize from everyday objects to remote sensing and aerial scenes domains? , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[8] Lu Wang,et al. Land-use scene classification using multi-scale completed local binary patterns , 2015, Signal, Image and Video Processing.
[9] Dengxin Dai,et al. Satellite Image Classification via Two-Layer Sparse Coding With Biased Image Representation , 2011, IEEE Geoscience and Remote Sensing Letters.
[10] Kunihiko Fukushima,et al. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position , 1980, Biological Cybernetics.
[11] Uwe Stilla,et al. Deep Learning Earth Observation Classification Using ImageNet Pretrained Networks , 2016, IEEE Geoscience and Remote Sensing Letters.
[12] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Yingli Tian,et al. Pyramid of Spatial Relatons for Scene-Level Land Use Classification , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[14] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[15] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[16] Yoshua Bengio,et al. Deep Sparse Rectifier Neural Networks , 2011, AISTATS.
[17] Wen Yang,et al. High-resolution satellite scene classification using a sparse coding based multiple feature combination , 2012 .
[18] Yuning Jiang,et al. Randomized Spatial Partition for Scene Recognition , 2012, ECCV.
[19] Brian P. Salmon,et al. Multiview Deep Learning for Land-Use Classification , 2015, IEEE Geoscience and Remote Sensing Letters.
[20] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Naif Alajlan,et al. Land-Use Classification With Compressive Sensing Multifeature Fusion , 2015, IEEE Geoscience and Remote Sensing Letters.
[22] David Picard,et al. Evaluation of second-order visual features for land-use classification , 2014, 2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI).
[23] Hong Sun,et al. Unsupervised Feature Learning Via Spectral Clustering of Multidimensional Patches for Remotely Sensed Scene Classification , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.