TARGET DETECTOR USING SPECTRAL LIBRARY IN HYPERSPECTRAL IMAGE DATABASE

초록

Recently, applications and spectral libraries for material classification, target detection, etc., have been developed. In order to set up applications and spectral libraries, hyperspectral image (HSI) database is one of major components. However, traditional HSI database do not provide indexing mechanism so that it takes lots of processing time to detect target. In this paper, we propose target detector in HSI database which is a prototype system providing index structure for spectral library. A pyramid technique was used to construct index and knearest neighbor algorithm and integrated spectral matching filter was used for query processing. Experimental result shows that the execution time and the accuracy of the proposed system are 99% shorter and 61% better than those of traditional HSI database without using index, respectively