A Review of Hyperspectral Remote sensing for Object Identification

Hyperspectral Imaging(HSI) is well suited for identifying the objects and materials in the scene with spectral values since its high spatial and spectral resolution data gives more accurate and detailed description of the object. Targeting ships in HSI is a great challenging task in a cluttered background (e.g.clouds, plumes, waves, noise, oil spills). This article presents a new approach using both spectral and spatial values for ship detection. The outline of this approach follows three stages: Preprocessing, Information Extraction and Target detection. This paper gives an outlook of various existing methods and techniques for background supression, feature extraction and detecting the target through various stages.