Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

Keywords

Hyperspectral imaging, Convolutional neural network, Feature extraction, Artificial intelligence, Pattern recognition (psychology)

References

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Cited by

• Distributed Sequence Memory of Multidimensional Inputs in Recurrent NetworksAdam S. Charles, Dong Yin, Christopher J. Rozell — 2016
• BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image ClassificationAnirban Santara, Kaustubh Mani, Pranoot Hatwar — 2016
• Data Field Modeling and Spectral-Spatial Feature Fusion for Hyperspectral Data ClassificationLiu Da, Jianxun Li — 2016
• Hyperspectral and LiDAR Data Fusion Using Extinction Profiles and Deep Convolutional Neural NetworkPedram Ghamisi, Bernhard Höfle, Xiao Xiang Zhu — 2017
• Spectral-Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural NetworkYing Li, Haokui Zhang, Qiang Shen — 2017
• Hyperspectral Image Classification with Spatial Filtering and ℓ2,1 NormHao Li, Chang Li, Cong Zhang — 2017
• R-VCANet: A New Deep-Learning-Based Hyperspectral Image Classification MethodBin Pan, Zhenwei Shi, Xia Xu — 2017
• Spectral-Spatial Response for Hyperspectral Image ClassificationYantao Wei, Yicong Zhou, Hong Li — 2017
• Early warning modeling and analysis based on analytic hierarchy process integrated extreme learning machine (AHP-ELM): Application to food safetyZhiqiang Geng, Shanshan Zhao, Guangcan Tao — 2017
• Injurious or Noninjurious Defect Identification From MFL Images in Pipeline Inspection Using Convolutional Neural NetworkJian Feng, Fangming Li, Senxiang Lu — 2017
• Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image ClassificationQingshan Liu, Feng Zhou, Renlong Hang — 2017
• Learning to Diversify Deep Belief Networks for Hyperspectral Image ClassificationPing Zhong, Zhiqiang Gong, Shutao Li — 2017
• Advanced Spectral Classifiers for Hyperspectral Images: A reviewPedram Ghamisi, Javier Plaza, Yushi Chen — 2017
• Deep Learning Advances in Computer Vision with 3D DataAnastasia Ioannidou, Elisavet Chatzilari, Spiros Nikolopoulos — 2017
• A Markov random field integrating spectral dissimilarity and class co-occurrence dependency for remote sensing image classification optimizationLeiguang Wang, Xin Huang, Zheng Chen — 2017
• Cascaded Recurrent Neural Networks for Hyperspectral Image ClassificationRenlong Hang, Qingshan Liu, Danfeng Hong — 2017
• Unsupervised Geometric Learning of Hyperspectral ImagesJames M. Murphy, Mauro Maggioni — 2017
• Going Deeper With Contextual CNN for Hyperspectral Image ClassificationHyungtae Lee, Heesung Kwon — 2016
• Remote Sensing Image Classification Based on Ensemble Extreme Learning Machine With Stacked AutoencoderFei Lv, Min Han, Tie Qiu — 2017
• A semi-supervised convolutional neural network for hyperspectral image classificationBing Liu, Xuchu Yu, Pengqiang Zhang — 2017

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