Multi-scale stacking attention pooling for remote sensing scene classification

[1]  Min Han,et al.  Remote sensing image classification based on neural network ensemble algorithm , 2012, Neurocomputing.

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

[3]  Yun-Nung Chen,et al.  RAP-Net: Recurrent Attention Pooling Networks for Dialogue Response Selection , 2020, Comput. Speech Lang..

[4]  Yunhong Wang,et al.  Receptive Field Block Net for Accurate and Fast Object Detection , 2017, ECCV.

[5]  Yong Zhang,et al.  Attention pooling-based convolutional neural network for sentence modelling , 2016, Inf. Sci..

[6]  Songfan Yang,et al.  Multi-scale Recognition with DAG-CNNs , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[7]  Zhiwu Lu,et al.  Image classification by visual bag-of-words refinement and reduction , 2015, Neurocomputing.

[8]  Shawn D. Newsam,et al.  Geographic Image Retrieval Using Local Invariant Features , 2013, IEEE Transactions on Geoscience and Remote Sensing.

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

[10]  Yong Man Ro,et al.  Color Local Texture Features for Color Face Recognition , 2012, IEEE Transactions on Image Processing.

[11]  Jie Chen,et al.  Region of interest extraction in remote sensing images by saliency analysis with the normal directional lifting wavelet transform , 2016, Neurocomputing.

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

[13]  Kate Saenko,et al.  Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering , 2015, ECCV.

[14]  Haitao Zhao,et al.  A visual attention based ROI detection method for facial expression recognition , 2018, Neurocomputing.

[15]  Soosan Beheshti,et al.  Hyperspectral Image Classification Based on Sparse Modeling of Spectral Blocks , 2020, Neurocomputing.

[16]  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).

[17]  Yi Yang,et al.  Discovering Discriminative Graphlets for Aerial Image Categories Recognition , 2013, IEEE Transactions on Image Processing.

[18]  David G. Lowe,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.

[19]  Xudong Jiang,et al.  LBP-Based Edge-Texture Features for Object Recognition , 2014, IEEE Transactions on Image Processing.

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

[21]  Xuelong Li,et al.  Local structure learning in high resolution remote sensing image retrieval , 2016, Neurocomputing.

[22]  Qi Bi,et al.  Landscape Patterns and Building Functions for Urban Land-Use Classification from Remote Sensing Images at the Block Level: A Case Study of Wuchang District, Wuhan, China , 2020, Remote. Sens..

[23]  Qi Bi,et al.  APDC-Net: Attention Pooling-Based Convolutional Network for Aerial Scene Classification , 2020, IEEE Geoscience and Remote Sensing Letters.

[24]  Qi Bi,et al.  RADC-Net: A residual attention based convolution network for aerial scene classification , 2020, Neurocomputing.

[25]  Jinhui Tang,et al.  Deep Ordinal Hashing With Spatial Attention , 2018, IEEE Transactions on Image Processing.

[26]  Yingbin Liu,et al.  Remote-sensing image retrieval with tree-triplet-classification networks , 2020, Neurocomputing.

[27]  Svetlana Lazebnik,et al.  Multi-scale Orderless Pooling of Deep Convolutional Activation Features , 2014, ECCV.

[28]  Jiwen Lu,et al.  Learning a Discriminative Distance Metric With Label Consistency for Scene Classification , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[29]  Xiao Xiang Zhu,et al.  Deep learning in remote sensing: a review , 2017, ArXiv.

[30]  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.

[31]  Shuicheng Yan,et al.  STAP: Spatial-Temporal Attention-Aware Pooling for Action Recognition , 2015, IEEE Transactions on Circuits and Systems for Video Technology.

[32]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[33]  Qi Bi,et al.  Multiple Instance Dense Connected Convolution Neural Network for Aerial Image Scene Classification , 2019, 2019 IEEE International Conference on Image Processing (ICIP).

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

[35]  Thomas Hofmann,et al.  Unsupervised Learning by Probabilistic Latent Semantic Analysis , 2004, Machine Learning.

[36]  Gong Cheng,et al.  Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities , 2020, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[37]  Yi Li,et al.  Deformable Convolutional Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

[38]  Liangpei Zhang,et al.  Adaptive Deep Sparse Semantic Modeling Framework for High Spatial Resolution Image Scene Classification , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[39]  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.

[40]  Jian Sun,et al.  Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2015, IEEE Trans. Pattern Anal. Mach. Intell..

[41]  Vladlen Koltun,et al.  Multi-Scale Context Aggregation by Dilated Convolutions , 2015, ICLR.

[42]  Johannes R. Sveinsson,et al.  Classification of hyperspectral data from urban areas based on extended morphological profiles , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[43]  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.

[44]  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.

[45]  Liangpei Zhang,et al.  Pre-Trained AlexNet Architecture with Pyramid Pooling and Supervision for High Spatial Resolution Remote Sensing Image Scene Classification , 2017, Remote. Sens..

[46]  Jefersson Alex dos Santos,et al.  Towards better exploiting convolutional neural networks for remote sensing scene classification , 2016, Pattern Recognit..

[47]  Kai Xu,et al.  A Multi-Scale Filtering Building Index for Building Extraction in Very High-Resolution Satellite Imagery , 2019, Remote. Sens..

[48]  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.

[49]  Shihong Du,et al.  A Linear Dirichlet Mixture Model for decomposing scenes: Application to analyzing urban functional zonings , 2015 .