Hyperspectral Images Classification With Gabor Filtering and Convolutional Neural Network

Keywords

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

References

• Deep Convolutional Neural Networks for Hyperspectral Image ClassificationWei Hu, Yangyu Huang, Li Wei — 2015
• Multimodal Classification of Remote Sensing Images: A Review and Future DirectionsLuis Gómez‐Chova, Devis Tuia, Gabriele Moser — 2015
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• Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological ProfilesMathieu Fauvel, Jocelyn Chanussot, Jón Atli Benediktsson — 2008
• Hyperspectral Remote Sensing Data Analysis and Future ChallengesJosé M. Bioucas‐Dias, Antonio Plaza, Gustau Camps‐Valls — 2013
• Filtering for Texture Classification: A Comparative StudyT. Randen, J.H. Husøy — 1999
• Multichannel Texture Analysis Using Localized Spatial FiltersAlan C. Bovik, Marianna Clark, Wilson S. Geisler — 1990
• Target Classification Using the Deep Convolutional Networks for SAR ImagesSizhe Chen, Haipeng Wang, Feng Xu — 2016
• Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the ArtLiangpei Zhang, Lefei Zhang, Bo Du — 2016
• Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural NetworksYushi Chen, Hanlu Jiang, Chunyang Li — 2016
• Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing ImagesGong Cheng, Peicheng Zhou, Junwei Han — 2016
• Deep Learning With Attribute Profiles for Hyperspectral Image ClassificationErchan Aptoula, Murat Can Özdemir, Berrin Yanıkoğlu — 2016
• Advanced Spectral Classifiers for Hyperspectral Images: A reviewPedram Ghamisi, Javier Plaza, Yushi Chen — 2017
• SPECTRAL-SPATIAL CLASSIFICATION OF HYPERSPECTRAL REMOTE SENSING IMAGES USING VARIATIONAL AUTOENCODER AND CONVOLUTION NEURAL NETWORKAnirudh Belwalkar, Aneesh G. Nath, Onkar Dikshit — 2018
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate ShiftSergey Ioffe, Christian Szegedy — 2015
• Spectral-Spatial Classification of Hyperspectral Remote Sensing ImagesJón Atli Benediktsson, Pedram Ghamisi — 2015

Cited by

• Generative Adversarial Networks for Hyperspectral Image ClassificationLin Zhu, Yushi Chen, Pedram Ghamisi — 2018
• Spatial Sequential Recurrent Neural Network for Hyperspectral Image ClassificationXiangrong Zhang, Yujia Sun, Kai Jiang — 2018
• Deep CNN With Multi-Scale Rotation Invariance Features for Ship ClassificationQiaoqiao Shi, Wei Li, Fan Zhang — 2018
• Investigating the affect of texture information on the classification of hyperspectral imagesEkrem Saralıoğlu, Esra Tunç Görmüş — 2018
• Spectral and Spatial Classification of Hyperspectral Images Based on Random Multi-GraphsFeng Gao, Qun Wang, Junyu Dong — 2018
• Joint Alternate Small Convolution and Feature Reuse for Hyperspectral Image ClassificationHongmin Gao, Yao Yang, Chenming Li — 2018
• New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep LearningPedram Ghamisi, Emmanuel Maggiori, Shutao Li — 2018
• Insect Sound Recognition Based on Convolutional Neural NetworkXue Dong, Yan Ning, Ying Wei — 2018
• Two Stream Neural Networks with Traditional CNN and Gabor CNN for Object ClassificationJiakun Li, Tian Wang, Ming Gao — 2018
• Dual-Path Network-Based Hyperspectral Image ClassificationXudong Kang, Binbin Zhuo, Puhong Duan — 2019
• Convolutional Neural Network Trained by Joint Loss for Hyperspectral Image ClassificationOuyang Ning, Ting Zhu, Leping Lin — 2019
• Spectral–spatial classification of hyperspectral images by algebraic multigrid based multiscale information fusionYi Wang, Hexiang Duan — 2018
• High-quality spectral-spatial reconstruction using saliency detection and deep feature enhancementWeiying Xie, Yanzi Shi, Yunsong Li — 2019
• AI-NET: Attention Inception Neural Networks for Hyperspectral Image ClassificationZhitong Xiong, Yuan Yuan, Qi Wang — 2018
• Class Signature-Constrained Background- Suppressed Approach to Band Selection for Classification of Hyperspectral ImagesChunyan Yu, Yulei Wang, Meiping Song — 2019
• MsRi-CCF: Multi-Scale and Rotation-Insensitive Convolutional Channel Features for Geospatial Object DetectionXin Wu, Danfeng Hong, Pedram Ghamisi — 2018
• Multi-branch fusion network for hyperspectral image classificationHongmin Gao, Yao Yang, Sheng Lei — 2019
• Energy-Efficient Gabor Kernels in Neural Networks with Genetic Algorithm Training MethodFanjie Meng, Xinqing Wang, Faming Shao — 2019
• Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial ClassificationKaiqiang Zhu, Yushi Chen, Pedram Ghamisi — 2019
• Generative Adversarial Networks Based Industrial Protocol Construction in the Fog ComputingLu Chu, Hong Liu — 2018

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