Deciphering Hyperspectral Image Classification: A Comprehensive Exploration
DOI : 10.46335/IJIES.2024.9.2.14
Authors : Yogita H. Dhande, Pallavi P. Surwade, Hemraj Dhande
Abstract – Hyperspectral imaging is a sophisticated technique that captures multidimensional images of objects by combining imaging and spectroscopic technologies. With hyperspectral imaging (HSI), we can explore both external and internal characteristics of various objects. Each object possesses a unique spectral signature based on variations in reflectance or emittance of its materials. Due to its non-destructive nature, hyperspectral imaging is increasingly penetrating fields such as food production, medical diagnosis, agriculture, pharmaceuticals, recycling, and environmental monitoring. This paper aims to review different methods of hyperspectral image classification, including traditional, deep learning, and pre-trained classifier approaches.
