Land use/land cover (LULC) classification using hyperspectral images: a review

Land use/land cover (LULC) classification using hyperspectral images: a review

In the rapidly evolving realm of remote sensing technology, the classification of Hyperspectral Images (HSIs) is a pivotal yet formidable task. Hindered by inherent limitations in hyperspectral imaging, enhancing the accuracy and efficiency of HSI classification remains a critical and much-debated i...

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Bibliographic Details
Main Authors: Chen Lou, Mohammed A. A. Al-qaness, Dalal AL-Alimi, Abdelghani Dahou, Mohamed Abd Elaziz, Laith Abualigah, Ahmed A. Ewees
Format: Article
Language:English
Published: Taylor & Francis Group 2024-04-01
Series:Geo-spatial Information Science
Subjects:
Hyperspectral image
Land Use/Land Cover (LULC)
deep learning
remote sensing
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2024.2332638

Internet

https://www.tandfonline.com/doi/10.1080/10095020.2024.2332638

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