Survey on classification methods for hyper spectral remote sensing imagery
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8241057/8250514/08250520.pdf?arnumber=8250520
Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
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4. Synergetic Effect of Complementary Nature of Hyperspectral and LiDAR Data for High Performance LULC Classification;2023 3rd International Conference on Intelligent Technologies (CONIT);2023-06-23
5. Application of Hyperspectral Remote Sensing Role in Precision Farming and Sustainable Agriculture Under Climate Change: A Review;Climate Change Impacts on Natural Resources, Ecosystems and Agricultural Systems;2023
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