METHOD FOR DETECTING TARGET USING HYPERSPECTRAL IMAGE AND INPUT SPECTRAL LIBRARY DATA

摘要

Disclosed is a method for detecting a target using hyperspectral images and input spectral library data. The method includes the steps of: dividing the hyperspectral image into plural groups having the predetermined number of bands based on the predetermined number of dimensionality reduction, and classifying substances using K-means clustering based on variations of reflectance between the predetermined number of bands; and extracting k candidates using range query-based k-nearest neighbor query algorithm based on spectral data characteristics of hyperspectral image, and detecting the target based on the spectral library data of the dimensionality reduction of the extracted candidate and the dimensionality reduction data of the input hyperspectral image. Therefore, it is possible to obtain a high detection rate using low dimensions.;COPYRIGHT KIPO 2014