Remote Sensing Image Scene Classification: Benchmark and State of the Art
暂无分享,去创建一个
[1] Bo Li,et al. Ship Detection in High-Resolution Optical Imagery Based on Anomaly Detector and Local Shape Feature , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[2] Jiwen Lu,et al. PCANet: A Simple Deep Learning Baseline for Image Classification? , 2014, IEEE Transactions on Image Processing.
[3] Thomas Blaschke,et al. A comparison of three image-object methods for the multiscale analysis of landscape structure , 2003 .
[4] Huaping Liu,et al. Scene-Level Geographic Image Classification Based on a Covariance Descriptor Using Supervised Collaborative Kernel Coding , 2016, Sensors.
[5] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[6] S. Cui. Comparison of approximation methods to Kullback–Leibler divergence between Gaussian mixture models for satellite image retrieval , 2016 .
[7] Liangpei Zhang,et al. The Fisher Kernel Coding Framework for High Spatial Resolution Scene Classification , 2016, Remote. Sens..
[8] Erchan Aptoula,et al. Remote Sensing Image Retrieval With Global Morphological Texture Descriptors , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[9] Thomas Blaschke,et al. A generic procedure for semantics-oriented landform classification using object-based image analysis , 2011 .
[10] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[11] Yihua Tan,et al. Unsupervised Multilayer Feature Learning for Satellite Image Scene Classification , 2016, IEEE Geoscience and Remote Sensing Letters.
[12] Xinwei Zheng,et al. Semi-Supervised Manifold Learning Based Multigraph Fusion for High-Resolution Remote Sensing Image Classification , 2014, IEEE Geoscience and Remote Sensing Letters.
[13] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[14] Junwei Han,et al. Automatic landslide detection from remote-sensing imagery using a scene classification method based on BoVW and pLSA , 2013 .
[15] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Lei Guo,et al. Weakly Supervised Learning for Target Detection in Remote Sensing Images , 2015, IEEE Geoscience and Remote Sensing Letters.
[17] Anil M. Cheriyadat,et al. Bag of Lines (BoL) for Improved Aerial Scene Representation , 2015, IEEE Geoscience and Remote Sensing Letters.
[18] Tong Zhang,et al. Deep Learning Based Feature Selection for Remote Sensing Scene Classification , 2015, IEEE Geoscience and Remote Sensing Letters.
[19] Lionel Gueguen. Classifying Compound Structures in Satellite Images: A Compressed Representation for Fast Queries , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[20] Liangpei Zhang,et al. On Combining Multiple Features for Hyperspectral Remote Sensing Image Classification , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[21] Bo Du,et al. Weakly Supervised Learning Based on Coupled Convolutional Neural Networks for Aircraft Detection , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[22] Amy Loutfi,et al. Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks , 2016, Remote. Sens..
[23] Xiang Zhang,et al. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks , 2013, ICLR.
[24] Igor Sevo,et al. Convolutional Neural Network Based Automatic Object Detection on Aerial Images , 2016, IEEE Geoscience and Remote Sensing Letters.
[25] Zhenfeng Shao,et al. High-resolution remote-sensing imagery retrieval using sparse features by auto-encoder , 2015 .
[26] Xian Sun,et al. A generic discriminative part-based model for geospatial object detection in optical remote sensing images , 2015 .
[27] Yihong Gong,et al. Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[28] Shihong Du,et al. Scene classification using multi-scale deeply described visual words , 2016 .
[29] Lei Guo,et al. Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[30] S. Phinn,et al. Multi-scale, object-based image analysis for mapping geomorphic and ecological zones on coral reefs , 2012 .
[31] André Stumpf,et al. Object-oriented mapping of landslides using Random Forests , 2011 .
[32] Laurent Itti,et al. Saliency and Gist Features for Target Detection in Satellite Images , 2011, IEEE Transactions on Image Processing.
[33] Thomas Blaschke,et al. Object based image analysis for remote sensing , 2010 .
[34] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[35] Antonio J. Plaza,et al. Parallel Hyperspectral Image and Signal Processing [Applications Corner] , 2011, IEEE Signal Processing Magazine.
[36] Yingli Tian,et al. Pyramid of Spatial Relatons for Scene-Level Land Use Classification , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[37] Gui-Song Xia,et al. Dirichlet-Derived Multiple Topic Scene Classification Model for High Spatial Resolution Remote Sensing Imagery , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[38] Brian P. Salmon,et al. Multiview Deep Learning for Land-Use Classification , 2015, IEEE Geoscience and Remote Sensing Letters.
[39] Xiaojun Chang,et al. Revealing Event Saliency in Unconstrained Video Collection , 2017, IEEE Transactions on Image Processing.
[40] Gui-Song Xia,et al. Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery , 2015, Remote. Sens..
[41] Shawn D. Newsam,et al. Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery , 2008, 2008 15th IEEE International Conference on Image Processing.
[42] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[43] Mihai Datcu,et al. Interactive learning and probabilistic retrieval in remote sensing image archives , 2000, IEEE Trans. Geosci. Remote. Sens..
[44] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Josef Strobl,et al. What’s wrong with pixels? Some recent developments interfacing remote sensing and GIS , 2001 .
[46] Junwei Han,et al. Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[47] Vladimir Risojevic,et al. Fusion of Global and Local Descriptors for Remote Sensing Image Classification , 2013, IEEE Geoscience and Remote Sensing Letters.
[48] J. Briggs,et al. An Object-oriented Approach to Urban Forest Mapping in Phoenix , 2007 .
[49] 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..
[50] Feng Wu,et al. Background Prior-Based Salient Object Detection via Deep Reconstruction Residual , 2015, IEEE Transactions on Circuits and Systems for Video Technology.
[51] Hongxun Yao,et al. An Informative Feature Selection Method Based on Sparse PCA for VHR Scene Classification , 2016, IEEE Geoscience and Remote Sensing Letters.
[52] Nikos Koutsias,et al. SVM-Based Fuzzy Decision Trees for Classification of High Spatial Resolution Remote Sensing Images , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[53] Michael J. Swain,et al. Color indexing , 1991, International Journal of Computer Vision.
[54] Gui-Song Xia,et al. Accurate Annotation of Remote Sensing Images via Active Spectral Clustering with Little Expert Knowledge , 2015, Remote. Sens..
[55] Lu Wang,et al. Land-use scene classification using multi-scale completed local binary patterns , 2015, Signal, Image and Video Processing.
[56] Yan Ke,et al. PCA-SIFT: a more distinctive representation for local image descriptors , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[57] Vladimir Risojevic,et al. Unsupervised Quaternion Feature Learning for Remote Sensing Image Classification , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[58] Qi Tian,et al. Incorporating visual adjectives for image classification , 2016, Neurocomputing.
[59] Xuelong Li,et al. Local structure learning in high resolution remote sensing image retrieval , 2016, Neurocomputing.
[60] William J. Emery,et al. Very High Resolution Multiangle Urban Classification Analysis , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[61] Lei Guo,et al. Effective and Efficient Midlevel Visual Elements-Oriented Land-Use Classification Using VHR Remote Sensing Images , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[62] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[63] Naif Alajlan,et al. Land-Use Classification With Compressive Sensing Multifeature Fusion , 2015, IEEE Geoscience and Remote Sensing Letters.
[64] Xintao Hu,et al. Weakly supervised target detection in remote sensing images based on transferred deep features and negative bootstrapping , 2016, Multidimens. Syst. Signal Process..
[65] Gabriele Moser,et al. Multimodal Classification of Remote Sensing Images: A Review and Future Directions , 2015, Proceedings of the IEEE.
[66] Chi-Ren Shyu,et al. GeoIRIS: Geospatial Information Retrieval and Indexing System—Content Mining, Semantics Modeling, and Complex Queries , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[67] Yanfei Zhong,et al. A spectral–structural bag-of-features scene classifier for very high spatial resolution remote sensing imagery , 2016 .
[68] Liangpei Zhang,et al. Evaluation of Morphological Texture Features for Mangrove Forest Mapping and Species Discrimination Using Multispectral IKONOS Imagery , 2009, IEEE Geoscience and Remote Sensing Letters.
[69] Qian Du,et al. Scene classification using local and global features with collaborative representation fusion , 2016, Inf. Sci..
[70] Wei Xiong,et al. Stacked Convolutional Denoising Auto-Encoders for Feature Representation , 2017, IEEE Transactions on Cybernetics.
[71] Xian Sun,et al. High-Resolution Remote-Sensing Image Classification via an Approximate Earth Mover's Distance-Based Bag-of-Features Model , 2013, IEEE Geoscience and Remote Sensing Letters.
[72] Luisa Verdoliva,et al. Land Use Classification in Remote Sensing Images by Convolutional Neural Networks , 2015, ArXiv.
[73] Xiuping Jia,et al. Crater Detection Based on Gist Features , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[74] Tapas Ranjan Martha,et al. Segment Optimization and Data-Driven Thresholding for Knowledge-Based Landslide Detection by Object-Based Image Analysis , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[75] Timothy A. Warner,et al. Forest Type Mapping using Object-specific Texture Measures from Multispectral Ikonos Imagery: Segmentation Quality and Image Classification Issues , 2009 .
[76] Christopher Hunt,et al. Notes on the OpenSURF Library , 2009 .
[77] Tinne Tuytelaars,et al. Mining Mid-level Features for Image Classification , 2014, International Journal of Computer Vision.
[78] Carole E. Nahum,et al. Airborne SAR-Efficient Signal Processing for Very High Resolution , 2013, Proceedings of the IEEE.
[79] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[80] Jianzhong Guo,et al. Gabor-Filtering-Based Completed Local Binary Patterns for Land-Use Scene Classification , 2015, 2015 IEEE International Conference on Multimedia Big Data.
[81] G. Hay,et al. Object-Based Image Analysis , 2008 .
[82] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[83] Dengxin Dai,et al. Satellite Image Classification via Two-Layer Sparse Coding With Biased Image Representation , 2011, IEEE Geoscience and Remote Sensing Letters.
[84] Mihai Datcu,et al. Application and Evaluation of a Hierarchical Patch Clustering Method for Remote Sensing Images , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[85] Cheng-Lin Liu,et al. Adaptive spatial pooling for image classification , 2016, Pattern Recognit..
[86] Ling Shao,et al. Cosaliency Detection Based on Intrasaliency Prior Transfer and Deep Intersaliency Mining , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[87] Gong Cheng,et al. Scene classification of high resolution remote sensing images using convolutional neural networks , 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
[88] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[89] Ping Tang,et al. Feature significance-based multibag-of-visual-words model for remote sensing image scene classification , 2016 .
[90] Geoffrey E. Hinton,et al. An Efficient Learning Procedure for Deep Boltzmann Machines , 2012, Neural Computation.
[91] Shiyong Cui,et al. A Comparative Study of Bag-of-Words and Bag-of-Topics Models of EO Image Patches , 2015, IEEE Geoscience and Remote Sensing Letters.
[92] Carlo Gatta,et al. Unsupervised Deep Feature Extraction for Remote Sensing Image Classification , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[93] Thomas Blaschke,et al. Image Segmentation Methods for Object-based Analysis and Classification , 2004 .
[94] T. Blaschke,et al. Automated classification of landform elements using object-based image analysis , 2006 .
[95] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[96] 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.
[97] Shawn D. Newsam,et al. Spatial pyramid co-occurrence for image classification , 2011, 2011 International Conference on Computer Vision.
[98] Qian Du,et al. Remote Sensing Image Scene Classification Using Multi-Scale Completed Local Binary Patterns and Fisher Vectors , 2016, Remote. Sens..
[99] Yoshua Bengio,et al. Greedy Layer-Wise Training of Deep Networks , 2006, NIPS.
[100] B. S. Manjunath,et al. Using texture to analyze and manage large collections of remote sensed image and video data. , 2004, Applied optics.
[101] 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).
[102] Antonio Torralba,et al. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.
[103] Junwei Han,et al. Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding , 2014 .
[104] Lei Guo,et al. Learning coarse-to-fine sparselets for efficient object detection and scene classification , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[105] Qi Kunlun,et al. Sparse coding-based correlaton model for land-use scene classification in high-resolution remote-sensing images , 2016 .
[106] Liangpei Zhang,et al. Scene Classification Based on the Multifeature Fusion Probabilistic Topic Model for High Spatial Resolution Remote Sensing Imagery , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[107] Xiaochen Lu,et al. Semantic Classification of High-Resolution Remote-Sensing Images Based on Mid-level Features , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[108] Anil M. Cheriyadat,et al. Unsupervised Feature Learning for Aerial Scene Classification , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[109] Jefersson Alex dos Santos,et al. Towards better exploiting convolutional neural networks for remote sensing scene classification , 2016, Pattern Recognit..
[110] Lei Guo,et al. Semantic Segmentation based on Stacked Discriminative Autoencoders and Context-Constrained Weakly Supervised Learning , 2015, ACM Multimedia.
[111] T. Blaschke,et al. Object‐based land‐cover classification for the Phoenix metropolitan area: optimization vs. transportability , 2008 .
[112] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[113] Bo Du,et al. Saliency-Guided Unsupervised Feature Learning for Scene Classification , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[114] Alain Rakotomamonjy,et al. Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[115] Hao Liu,et al. A Three-Layered Graph-Based Learning Approach for Remote Sensing Image Retrieval , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[116] 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.
[117] T. Blaschke,et al. Object-based contextual image classification built on image segmentation , 2003, IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003.
[118] Lei Guo,et al. A coarse-to-fine model for airport detection from remote sensing images using target-oriented visual saliency and CRF , 2015, Neurocomputing.
[119] 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).
[120] Gong Cheng,et al. RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[121] Xuelong Li,et al. Two-Stage Learning to Predict Human Eye Fixations via SDAEs , 2016, IEEE Transactions on Cybernetics.
[122] Yongjun Zhang,et al. Content-Based High-Resolution Remote Sensing Image Retrieval via Unsupervised Feature Learning and Collaborative Affinity Metric Fusion , 2016, Remote. Sens..
[123] Xueming Qian,et al. Semantic Annotation of High-Resolution Satellite Images via Weakly Supervised Learning , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[124] Shawn D. Newsam,et al. Bag-of-visual-words and spatial extensions for land-use classification , 2010, GIS '10.
[125] Pietro Perona,et al. A Bayesian hierarchical model for learning natural scene categories , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[126] Bo Du,et al. Scene Classification via a Gradient Boosting Random Convolutional Network Framework , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[127] Yanfei Zhong,et al. Large patch convolutional neural networks for the scene classification of high spatial resolution imagery , 2016 .
[128] Cordelia Schmid,et al. Evaluation of GIST descriptors for web-scale image search , 2009, CIVR '09.
[129] Paolo Gamba,et al. Human Settlements: A Global Challenge for EO Data Processing and Interpretation , 2013, Proceedings of the IEEE.
[130] Shiyong Cui,et al. Remote Sensing Image Classification: No Features, No Clustering , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[131] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[132] Guofan Shao,et al. Object-based urban vegetation mapping with high-resolution aerial photography as a single data source , 2013 .
[133] Haiyan Gu,et al. Object-oriented classification of high-resolution remote sensing imagery based on an improved colour structure code and a support vector machine , 2010 .
[134] Weihua Su,et al. Hierarchical Coding Vectors for Scene Level Land-Use Classification , 2016, Remote. Sens..
[135] Xuelong Li,et al. Detection of Co-salient Objects by Looking Deep and Wide , 2016, International Journal of Computer Vision.
[136] Wen Yang,et al. STRUCTURAL HIGH-RESOLUTION SATELLITE IMAGE INDEXING , 2010 .
[137] Retno Kusumaningrum,et al. Integrated visual vocabulary in latent Dirichlet allocation–based scene classification for IKONOS image , 2014 .
[138] Nan Li,et al. Multi-Parametric Indicator Design for ECT Sensor Optimization Used in Oil Transmission , 2017, IEEE Sensors Journal.
[139] 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.
[140] Naif Alajlan,et al. Using convolutional features and a sparse autoencoder for land-use scene classification , 2016 .
[141] Xi Chen,et al. Measuring the Effectiveness of Various Features for Thematic Information Extraction From Very High Resolution Remote Sensing Imagery , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[142] Gui-Song Xia,et al. A Comparative Study of Sampling Analysis in the Scene Classification of Optical High-Spatial Resolution Remote Sensing Imagery , 2015, Remote. Sens..
[143] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[144] Wen Yang,et al. High-resolution satellite scene classification using a sparse coding based multiple feature combination , 2012 .
[145] Lei Guo,et al. Scalable multi-class geospatial object detection in high-spatial-resolution remote sensing images , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.
[146] Jon Atli Benediktsson,et al. Multiple Feature Learning for Hyperspectral Image Classification , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[147] Antonio J. Plaza,et al. This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1 Spectral–Spatial Classification of Hyperspectral Data Usi , 2022 .
[148] Junwei Han,et al. A Survey on Object Detection in Optical Remote Sensing Images , 2016, ArXiv.
[149] Pascal Vincent,et al. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion , 2010, J. Mach. Learn. Res..
[150] Gang Liu,et al. A Color-Texture-Structure Descriptor for High-Resolution Satellite Image Classification , 2016, Remote. Sens..
[151] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[152] L.L.F. Janssen,et al. Knowledge-based crop classification of a Landsat thematic mapper image , 1992 .
[153] Xinwei Zheng,et al. Automatic Annotation of Satellite Images via Multifeature Joint Sparse Coding With Spatial Relation Constraint , 2013, IEEE Geoscience and Remote Sensing Letters.
[154] Gustavo Camps-Valls,et al. Semisupervised Classification of Remote Sensing Images With Active Queries , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[155] Bo Du,et al. Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art , 2016, IEEE Geoscience and Remote Sensing Magazine.
[156] Mihai Datcu,et al. Semantic Annotation of Satellite Images Using Latent Dirichlet Allocation , 2010, IEEE Geoscience and Remote Sensing Letters.
[157] Shawn D. Newsam,et al. Geographic Image Retrieval Using Local Invariant Features , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[158] Hong Sun,et al. Tile-Level Annotation of Satellite Images Using Multi-Level Max-Margin Discriminative Random Field , 2013, Remote. Sens..
[159] Anil K. Jain,et al. Object detection using gabor filters , 1997, Pattern Recognit..
[160] Niti B. Mishra,et al. Mapping vegetation morphology types in a dry savanna ecosystem: integrating hierarchical object-based image analysis with Random Forest , 2014 .
[161] Jon Atli Benediktsson,et al. Generalized Composite Kernel Framework for Hyperspectral Image Classification , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[162] B. S. Manjunath,et al. Modeling and Detection of Geospatial Objects Using Texture Motifs , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[163] Junwei Han,et al. Object detection in VHR optical remote sensing images via learning rotation-invariant HOG feature , 2016, 2016 4th International Workshop on Earth Observation and Remote Sensing Applications (EORSA).
[164] Xudong Jiang,et al. Learning LBP structure by maximizing the conditional mutual information , 2015, Pattern Recognit..
[165] Jefersson Alex dos Santos,et al. Evaluating the Potential of Texture and Color Descriptors for Remote Sensing Image Retrieval and Classification , 2010, VISAPP.
[166] Junwei Han,et al. Multi-class geospatial object detection and geographic image classification based on collection of part detectors , 2014 .
[167] Uwe Stilla,et al. Deep Learning Earth Observation Classification Using ImageNet Pretrained Networks , 2016, IEEE Geoscience and Remote Sensing Letters.
[168] Deren Li,et al. Object Classification of Aerial Images With Bag-of-Visual Words , 2010, IEEE Geoscience and Remote Sensing Letters.
[169] Chao Yao,et al. Approximative Bayes optimality linear discriminant analysis for Chinese handwriting character recognition , 2016, Neurocomputing.
[170] Jianya Gong,et al. Land-Use Scene Classification in High-Resolution Remote Sensing Images Using Improved Correlatons , 2015, IEEE Geoscience and Remote Sensing Letters.
[171] Junwei Han,et al. Object detection in remote sensing imagery using a discriminatively trained mixture model , 2013 .
[172] Gui-Song Xia,et al. Fast Binary Coding for the Scene Classification of High-Resolution Remote Sensing Imagery , 2016, Remote. Sens..
[173] Ping Tang,et al. A 2-D wavelet decomposition-based bag-of-visual-words model for land-use scene classification , 2014 .
[174] Ping Tang,et al. Land-Use Scene Classification Using a Concentric Circle-Structured Multiscale Bag-of-Visual-Words Model , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[175] Xian Sun,et al. Object Detection in High-Resolution Remote Sensing Images Using Rotation Invariant Parts Based Model , 2014, IEEE Geoscience and Remote Sensing Letters.
[176] Jian Sun,et al. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.