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[1] Curt H. Davis,et al. Training Deep Convolutional Neural Networks for Land–Cover Classification of High-Resolution Imagery , 2017, IEEE Geoscience and Remote Sensing Letters.
[2] Junwei Han,et al. Multi-class geospatial object detection and geographic image classification based on collection of part detectors , 2014 .
[3] Shawn D. Newsam,et al. Geographic Image Retrieval Using Local Invariant Features , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[4] Hongxun Yao,et al. Deep Feature Fusion for VHR Remote Sensing Scene Classification , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[5] Thomas Blaschke,et al. Object based image analysis for remote sensing , 2010 .
[6] Antonio J. Plaza,et al. Parallel Hyperspectral Image and Signal Processing [Applications Corner] , 2011, IEEE Signal Processing Magazine.
[7] Hao Liu,et al. A Three-Layered Graph-Based Learning Approach for Remote Sensing Image Retrieval , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[8] Vladimir Risojevic,et al. Fusion of Global and Local Descriptors for Remote Sensing Image Classification , 2013, IEEE Geoscience and Remote Sensing Letters.
[9] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[10] Thomas Blaschke,et al. Geographic Object-Based Image Analysis – Towards a new paradigm , 2014, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.
[11] Iasonas Kokkinos,et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Yuji Murayama,et al. Pixel-based and object-based classifications using high- and medium-spatial-resolution imageries in the urban and suburban landscapes , 2015 .
[13] Curt H. Davis,et al. Fusion of Deep Convolutional Neural Networks for Land Cover Classification of High-Resolution Imagery , 2017, IEEE Geoscience and Remote Sensing Letters.
[14] Vijay Vasudevan,et al. Learning Transferable Architectures for Scalable Image Recognition , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[15] Qian Du,et al. Scene classification using local and global features with collaborative representation fusion , 2016, Inf. Sci..
[16] Antonio Plaza,et al. A new deep convolutional neural network for fast hyperspectral image classification , 2017, ISPRS Journal of Photogrammetry and Remote Sensing.
[17] Jon Atli Benediktsson,et al. Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[18] Yiming Yang,et al. DARTS: Differentiable Architecture Search , 2018, ICLR.
[19] Quoc V. Le,et al. Large-Scale Evolution of Image Classifiers , 2017, ICML.
[20] Nikos Komodakis,et al. Wide Residual Networks , 2016, BMVC.
[21] Vladlen Koltun,et al. Multi-Scale Context Aggregation by Dilated Convolutions , 2015, ICLR.
[22] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[23] Gui-Song Xia,et al. Bag-of-Visual-Words Scene Classifier With Local and Global Features for High Spatial Resolution Remote Sensing Imagery , 2016, IEEE Geoscience and Remote Sensing Letters.
[24] Gui-Song Xia,et al. AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[25] Antonio Torralba,et al. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.
[26] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[27] Carole E. Nahum,et al. Airborne SAR-Efficient Signal Processing for Very High Resolution , 2013, Proceedings of the IEEE.
[28] Alok Aggarwal,et al. Regularized Evolution for Image Classifier Architecture Search , 2018, AAAI.
[29] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[30] Josef Strobl,et al. What’s wrong with pixels? Some recent developments interfacing remote sensing and GIS , 2001 .
[31] Sergey Ioffe,et al. Rethinking the Inception Architecture for Computer Vision , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Lei Guo,et al. Auto-encoder-based shared mid-level visual dictionary learning for scene classification using very high resolution remote sensing images , 2015, IET Comput. Vis..
[33] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[34] Quoc V. Le,et al. Neural Architecture Search with Reinforcement Learning , 2016, ICLR.
[35] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[36] Shawn D. Newsam,et al. Bag-of-visual-words and spatial extensions for land-use classification , 2010, GIS '10.
[37] 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).
[38] Xiaoqiang Lu,et al. Remote Sensing Image Scene Classification: Benchmark and State of the Art , 2017, Proceedings of the IEEE.
[39] Jefersson Alex dos Santos,et al. Towards better exploiting convolutional neural networks for remote sensing scene classification , 2016, Pattern Recognit..
[40] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Mark Sandler,et al. MobileNetV2: Inverted Residuals and Linear Bottlenecks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[42] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[43] Cong Lin,et al. Integrating Multilayer Features of Convolutional Neural Networks for Remote Sensing Scene Classification , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[44] B. S. Manjunath,et al. Modeling and Detection of Geospatial Objects Using Texture Motifs , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[45] Jefersson Alex dos Santos,et al. Evaluating the Potential of Texture and Color Descriptors for Remote Sensing Image Retrieval and Classification , 2010, VISAPP.