An extensive review of hyperspectral image classification and prediction: techniques and challenges

• Published in: Multimedia tools and applications Vol. 83; no. 34; pp. 80941 - 81038
• Main Authors: Tejasree, Ganji, Agilandeeswari, Loganathan
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.10.2024; Springer Nature B.V
• Subjects: Anomalies; Classification; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Earth surface; Feature extraction; Human influences; Hyperspectral imaging; Image analysis; Image classification; Image processing; Impact analysis; Impact prediction; Land cover; Land use; Machine learning; Multimedia Information Systems; Remote sensing; Special Purpose and Application-Based Systems; Spectral bands; Hyperspectral image processing; Land cover classification; Spectral bands; Hyperspectral image classification; LU/LC change prediction

Hyperspectral Image Processing (HSIP) is an essential technique in remote sensing. Currently, extensive research is carried out in hyperspectral image processing, involving many applications, including land cover classification, anomaly detection, plant classification, etc., Hyperspectral image proc...