AttentionBased Deep Feature Fusion for the Scene Classification of HighResolution Remote Sensing Images

[1]  Jun Li,et al.  GPU Parallel Implementation of Spatially Adaptive Hyperspectral Image Classification , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[2]  Li Yan,et al.  Cross-Domain Distance Metric Learning Framework With Limited Target Samples for Scene Classification of Aerial Images , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Li Yan,et al.  TrAdaBoost Based on Improved Particle Swarm Optimization for Cross-Domain Scene Classification With Limited Samples , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[4]  Xuelong Li,et al.  Scene Classification With Recurrent Attention of VHR Remote Sensing Images , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Tao Chen,et al.  Unsupervised Feature Learning for Land-Use Scene Recognition , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Yanjiang Wang,et al.  Weighted Spatial Pyramid Matching Collaborative Representation for Remote-Sensing-Image Scene Classification , 2019, Remote. Sens..

[7]  Fahad Shahbaz Khan,et al.  Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification , 2017, ArXiv.

[8]  Li Yan,et al.  Improved Class-Specific Codebook with Two-Step Classification for Scene-Level Classification of High Resolution Remote Sensing Images , 2017, Remote. Sens..

[9]  Georgios Tziritas,et al.  MRF-based segmentation and unsupervised classification for building and road detection in peri-urban areas of high-resolution satellite images , 2016 .

[10]  Qian Du,et al.  Fusing Local and Global Features for High-Resolution Scene Classification , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[11]  Chao Yang,et al.  Concentric Circle Pooling in Deep Convolutional Networks for Remote Sensing Scene Classification , 2018, Remote. Sens..

[12]  Naif Alajlan,et al.  Domain Adaptation Network for Cross-Scene Classification , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Hongxun Yao,et al.  Deep Feature Fusion for VHR Remote Sensing Scene Classification , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Hong Huo,et al.  Improving the Separability of Deep Features with Discriminative Convolution Filters for RSI Classification , 2018, ISPRS Int. J. Geo Inf..

[15]  Antonio J. Plaza,et al.  Parallel and Distributed Dimensionality Reduction of Hyperspectral Data on Cloud Computing Architectures , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[16]  Jonathan Cheung-Wai Chan,et al.  Hyperspectral Images Classification Based on Dense Convolutional Networks with Spectral-Wise Attention Mechanism , 2019, Remote. Sens..

[17]  Ye Li,et al.  Hybrid Collaborative Representation for Remote-Sensing Image Scene Classification , 2018, Remote. Sens..

[18]  Xiaoqiang Lu,et al.  Remote Sensing Image Scene Classification: Benchmark and State of the Art , 2017, Proceedings of the IEEE.

[19]  Ping Zhong,et al.  Joint Learning of the Center Points and Deep Metrics for Land-Use Classification in Remote Sensing , 2019, Remote. Sens..

[20]  Rodrigo Minetto,et al.  Hydra: An Ensemble of Convolutional Neural Networks for Geospatial Land Classification , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[21]  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.

[22]  Jun Huang,et al.  Spectral-Spatial Attention Networks for Hyperspectral Image Classification , 2019, Remote. Sens..

[23]  Junwei Han,et al.  Multi-class geospatial object detection and geographic image classification based on collection of part detectors , 2014 .

[24]  Lei Guo,et al.  When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[25]  Chen Chen,et al.  SmokeNet: Satellite Smoke Scene Detection Using Convolutional Neural Network with Spatial and Channel-Wise Attention , 2019, Remote. Sens..

[26]  Xiao Xiang Zhu,et al.  Recurrently exploring class-wise attention in a hybrid convolutional and bidirectional LSTM network for multi-label aerial image classification , 2018, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.

[27]  Bo Du,et al.  Saliency-Guided Unsupervised Feature Learning for Scene Classification , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[28]  Ronald A. Rensink.  The Dynamic Representation of Scenes , 2000 .

[29]  Hong Huang,et al.  Combing Triple-Part Features of Convolutional Neural Networks for Scene Classification in Remote Sensing , 2019, Remote. Sens..

[30]  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.

[31]  Jiangye Yuan,et al.  Domain-Adapted Convolutional Networks for Satellite Image Classification: A Large-Scale Interactive Learning Workflow , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[32]  Li Yan,et al.  Scene Capture and Selected Codebook-Based Refined Fuzzy Classification of Large High-Resolution Images , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[33]  Lei Guo,et al.  Remote Sensing Image Scene Classification Using Bag of Convolutional Features , 2017, IEEE Geoscience and Remote Sensing Letters.

[34]  Li Yan,et al.  Color-Boosted Saliency-Guided Rotation Invariant Bag of Visual Words Representation with Parameter Transfer for Cross-Domain Scene-Level Classification , 2018, Remote. Sens..

[35]  Anil M. Cheriyadat,et al.  Unsupervised Feature Learning for Aerial Scene Classification , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[36]  Mohamed Lamine Mekhalfi,et al.  Learning a Multi-Branch Neural Network from Multiple Sources for Knowledge Adaptation in Remote Sensing Imagery , 2018, Remote. Sens..

[37]  Shiming Xiang,et al.  Aggregating Rich Hierarchical Features for Scene Classification in Remote Sensing Imagery , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[38]  Y. Zhong,et al.  Attention-Mechanism-Containing Neural Networks for High-Resolution Remote Sensing Image Classification , 2018, Remote Sensing.

[39]  Mohsen Ali,et al.  Deep Built-Structure Counting in Satellite Imagery Using Attention Based Re-Weighting , 2019, ISPRS Journal of Photogrammetry and Remote Sensing.

[40]  Qing Wang,et al.  Training Small Networks for Scene Classification of Remote Sensing Images via Knowledge Distillation , 2018, Remote. Sens..

[41]  Gui-Song Xia,et al.  Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery , 2015, Remote. Sens..

[42]  Qian Du,et al.  Scene classification using local and global features with collaborative representation fusion , 2016, Inf. Sci..

[43]  Lu Wang,et al.  Land-use scene classification using multi-scale completed local binary patterns , 2015, Signal, Image and Video Processing.

[44]  Yue Wu,et al.  Double-Branch Multi-Attention Mechanism Network for Hyperspectral Image Classification , 2019, Remote. Sens..

[45]  Yanfei Zhong,et al.  A spectral–structural bag-of-features scene classifier for very high spatial resolution remote sensing imagery , 2016 .

[46]  Shih-Fu Chang,et al.  Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification , 2017, IEEE Transactions on Multimedia.

[47]  Yunlong Yu,et al.  Dense Connectivity Based Two-Stream Deep Feature Fusion Framework for Aerial Scene Classification , 2018, Remote. Sens..

[48]  Josiane Zerubia,et al.  Building Development Monitoring in Multitemporal Remotely Sensed Image Pairs with Stochastic Birth-Death Dynamics , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[49]  Lin Lei,et al.  Multi-scale object detection in remote sensing imagery with convolutional neural networks , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.