RESEARCH TRENDS IN HYPERSPECTRAL IMAGERY DATA

Remote sensing and analysis of an object or specific area of the earth at different distances with very large number of bands forms a major part of hyperspectral imaging technology. Currently, a wide range of data sets are obtained continuously from hyperspectral remote sensing, in addition to conventional multispectral remote sensing images, and presented to users by institutions for both commercial and research purposes. These data sets give a vast opportunity to explore number of areas where research can be carried out. Areas such as subpixel mapping, super resolution, target detection, compression and retrieval find a vast scope for research work. However, among all the research topics retrieval forms an important topic for discussion due to large amount of data sets being processed at very small interval of time. Excessiveness of information revealed from these data sets also complicates access of users to images they are interested in. In this study, an in-depth review of current research challenges in Hyperspectral Image retrieval techniques has been done to specify research gaps and trends in this subject