A REVIEW ON HYPERSPECTRAL IMAGING AND ITS APPLICATIONS IN WOOD DOMAIN

• Published in: Indian journal of computer science and engineering Vol. 15; no. 4; pp. 433 - 439
• Main Authors: Htun, Phyu Phyu, Htwe, Ah Nge, Nu Nu Kyi, Nan, Phyu, Poe Ei
• Format: Journal Article
• Language: English
• Published: 20.08.2024
• ISSN: 2231-3850; 2231-3850
• DOI: 10.21817/indjcse/2024/v15i4/241504027

Hyperspectral imaging (HSI) has proven to be a highly effective tool across a wide range of military, environmental, and civil applications over the past thirty years. Modern remote sensing techniques provide extensive coverage of large areas on Earth, offering both high spatial and spectral resolutions. These capabilities enhance HSI's effectiveness in remote sensing applications, particularly for identifying materials and analyzing complex surfaces with detailed spectral data. In recent years, HSI has gained significant attention in fields such as food safety and quality assessment, medical diagnostics, and agricultural analysis. This review explores the fundamental principles of HSI and its applications specifically within the wood industry. Numerous researchers have proposed promising solutions for automatic systems utilizing HSI. Researchers in the field of hyperspectral imaging (HSI) are exploring several aspects of wood analysis, including: wood classification, wood species or fungi detection, wood segmentation. By using these methods, researchers can achieve more precise and reliable results in wood analysis, contributing to advancements in forestry, conservation, and the wood industry. This review can serve as a foundation for future research and advancements, particularly in the wood domain.