Content Based Hyperspectral Image Retrieval: A Systematic Review
نویسندگان
چکیده
Hyperspectral imaging comprises the technologies that incorporates remote sensing and analysis of an object or specific area of the earth at different distances with very large number of bands. Currently, a wide range of hyperspectral data sets are obtained continuously, in addition to conventional multispectral remote sensing images, and presented to users by institutions for both commercial and research purposes. However, excessiveness of information revealed from these data sets also complicates access of users to images they interested in. In this study, a comprehensive review of Content Based Image Retrieval (CBIR) systems, especially proposed for hyperspectral imaging, has been done to specify research gaps and trends in this subject. Keywords—content based image retrieval, hyperspectral image processing, remote sensing
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