Trends in Hyperspectral Imaging

Abstract: Recent advancements in hyperspectral imaging provides end users with spectral, spatial and temporal information about the data. Spectral data are captured by hyperspectral sensors. The spectral values plays vital role in various applications for detection, recognition, classification, anomaly detection etc. Since each object has its own spectral signatures, hyperspectral imaging has gained more interest in the research and has brought significant development in agriculture, military, medical diagnosis, and forensic applications. In this paper basic aspects of hyperspectral imaging such as classification, spectral unmixing, target detection and change detection are discussed.

Keywords: Hyperspectral Imaging, classification, spectral unmixing, target detection and change detection.