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

• Published in: Geo-spatial information science Vol. 28; no. 2; pp. 345 - 386
• Main Authors: Lou, Chen, Al-qaness, Mohammed A. A., AL-Alimi, Dalal, Dahou, Abdelghani, Abd Elaziz, Mohamed, Abualigah, Laith, Ewees, Ahmed A.
• Format: Journal Article
• Language: English
• Published: Wuhan Taylor & Francis 04.03.2025; Taylor & Francis Ltd; Taylor & Francis Group
• Subjects: Classification; Deep learning; Hyperspectral image; Hyperspectral imaging; Image classification; Land cover; Land use; Land Use/Land Cover (LULC); Machine learning; Remote sensing

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...