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Classifying hyperspectral images is a difficult task in remote sensing, due to their complex high-dimensional data.
Deep learning-based classification of hyperspectral data
Yushi Chen, Zhouhan Lin, Xing Zhao, Gang Wang, and Yanfeng Gu · 2014
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Deep feature extraction and classification of hyperspectral images based on convolutional neural networks
Yushi Chen, Hanlu Jiang, Chunyang Li, Xiuping Jia, and Pedram Ghamisi · 2016
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Bands sensitive convolutional network for hyperspectral image classification
Lingyan Ran, Yanning Zhang, Wei Wei, and Tao Yang · 2016
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Hyperspectral cnn for image classification & band selection, with application to face recognition
Vivek Sharma, Ali Diba, Tinne Tuytelaars, and Luc Van Gool · 2016
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Deep recurrent neural networks for hyperspectral image classification
Lichao Mou, Pedram Ghamisi, and Xiao Xiang Zhu · 2017
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Automatic apple recognition based on the fusion of color and 3D feature for robotic fruit picking
Yongting Tao and Jun Zhou · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Convolutional neural networks for hyperspectral image classification
Shiqi Yu, Sen Jia, and Chunyan Xu · 2017
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Deep learning for fusion of APEX hyperspectral and full-waveform LiDAR remote sensing data for tree species mapping
Wenzhi Liao, Frieke Van Coillie, Lianru Gao, Liwei Li, Bing Zhang, and Jocelyn Chanussot · 2018
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The role of hyperspectral imaging: A literature review
Muhammad Mateen, Junhao Wen, Muhammad Azeem Akbar, et al · 2018
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Capsule networks for hyperspectral image classification
Mercedes E Paoletti, Juan Mario Haut, Ruben Fernandez-Beltran, Javier Plaza, Antonio Plaza, Jun Li, and Filiberto Pla · 2018
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Generative adversarial networks for hyperspectral image classification
Lin Zhu, Yushi Chen, Pedram Ghamisi, and Jón Atli Benediktsson · 2018
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Cascaded recurrent neural networks for hyperspectral image classification
Renlong Hang, Qingshan Liu, Danfeng Hong, and Pedram Ghamisi · 2019
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Hsi-bert: Hyperspectral image classification using the bidirectional encoder representation from transformers
Ji He, Lina Zhao, Hongwei Yang, Mengmeng Zhang, and Wei Li · 2019
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Deep learning for hyperspectral image classification: An overview
Shutao Li, Weiwei Song, Leyuan Fang, Yushi Chen, Pedram Ghamisi, and Jon Atli Benediktsson · 2019
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Learning compact and discriminative stacked autoencoder for hyperspectral image classification
Peicheng Zhou, Junwei Han, Gong Cheng, and Baochang Zhang · 2019
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Graph convolutional networks for hyperspectral image classification
Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, and Jocelyn Chanussot · 2020
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Long movie clip classification with state-space video models
Md Mohaiminul Islam and Gedas Bertasius · 2022
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Sen Jia and Yifan Wang · 2022
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S4nd: Modeling images and videos as multidimensional signals with state spaces
Eric Nguyen, Karan Goel, Albert Gu, Gordon Downs, Preey Shah, Tri Dao, Stephen Baccus, and Christopher Ré · 2022
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A review of machine learning in processing remote sensing data for mineral exploration
Hojat Shirmard, Ehsan Farahbakhsh, R Dietmar Müller, and Rohitash Chandra · 2022
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Spectral–spatial feature tokenization transformer for hyperspectral image classification
Le Sun, Guangrui Zhao, Yuhui Zheng, and Zebin Wu · 2022
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Comparison of cnn algorithms on hyperspectral image classification in agricultural lands
Tien-Heng Hsieh and Jean-Fu Kiang · 2020
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Feature extraction for hyperspectral imagery: The evolution from shallow to deep: Overview and toolbox
Behnood Rasti, Danfeng Hong, Renlong Hang, Pedram Ghamisi, Xudong Kang, Jocelyn Chanussot, and Jon Atli Benediktsson · 2020
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Hyperspectral image classification using cnn with spectral and spatial features integration
Radhesyam Vaddi and Prabukumar Manoharan · 2020
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Hyperspectral/Multispectral Imaging
Xun Cao · 2021
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Efficiently modeling long sequences with structured state spaces
Albert Gu, Karan Goel, and Christopher Ré · 2021
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Spectralformer: Rethinking hyperspectral image classification with transformers
Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, and Jocelyn Chanussot · 2021
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Hungry hungry hippos: Towards language modeling with state space models
Daniel Y Fu, Tri Dao, Khaled K Saab, Armin W Thomas, Atri Rudra, and Christopher Ré · 2022
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Remote Sensing of Agriculture and Land Cover/Land Use Changes in South and Southeast Asian Countries
Krishna Prasad Vadrevu, Thuy Le Toan, Shibendu Shankar Ray, and Christopher O Justice · 2022
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Hyperspectral image transformer classification networks
Xiaofei Yang, Weijia Cao, Yao Lu, and Yicong Zhou · 2022
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Transformers in remote sensing: A survey
Abdulaziz Amer Aleissaee, Amandeep Kumar, Rao Muhammad Anwer, Salman Khan, Hisham Cholakkal, Gui-Song Xia, and Fahad Shahbaz Khan · 2023
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Enhanced hyperspectral image classification through pretrained cnn model for robust spatial feature extraction
Ram Nivas Giri, Rekh Ram Janghel, Saroj Kumar Pandey, Himanshu Govil, and Anurag Sinha · 2023
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Mamba: Linear-time sequence modeling with selective state spaces
Albert Gu and Tri Dao · 2023
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Selective structured state-spaces for long-form video understanding
Jue Wang, Wentao Zhu, Pichao Wang, Xiang Yu, Linda Liu, Mohamed Omar, and Raffay Hamid · 2023
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Vision mamba: Efficient visual representation learning with bidirectional state space model
Lianghui Zhu, Bencheng Liao, Qian Zhang, Xinlong Wang, Wenyu Liu, and Xinggang Wang · 2024
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