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On the Compression of Hyperspectral Data
2013n this paper we focus on the compression of three-dimensional hyperspectral data, and review the state-of-the-art low-complexity Spectral-oriented Least SQuares (SLSQ) algorithm, which is suitable for on board implementations on airplanes or satellites.
PIZZOLANTE, RAFFAELE, CARPENTIERI, Bruno
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Hyperspectral Anomaly Detection: A survey
IEEE Geoscience and Remote Sensing Magazine, 2022Hongjun Su, Zhaoyue Wu, Huihui Zhang
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Hyperspectral Image Denoising with Realistic Data
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021Tao Zhang 0042 +2 more
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Hyperspectral-cube-based mobile face recognition: A comprehensive review
Information Fusion, 2021Xianyi Zhang, Haitao Zhao
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Hyperspectral Satellites, Evolution, and Development History
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021Shen-En Qian
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A review of deep learning used in the hyperspectral image analysis for agriculture
Artificial Intelligence Review, 2021Yanjun Zhu, Jialin Hou, Ping Liu
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Advanced Spectral Classifiers for Hyperspectral Images: A review
IEEE Geoscience and Remote Sensing Magazine, 2017Pedram Ghamisi +2 more
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Hyperspectral Image Super-Resolution via Non-Negative Structured Sparse Representation
IEEE Transactions on Image Processing, 2016Weisheng Dong, Guangming Shi, Xun Cao
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Hyperspectral Remote Sensing Data Analysis and Future Challenges
IEEE Geoscience and Remote Sensing Magazine, 2013JOSÉ M Bioucas-Dias +2 more
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Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture
Remote Sensing, 2020Bing Lu, Phuong D Dao, Jiangui Liu
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