Research On Target Detection And Recognition Based On Hyperspectral Imagery

Hyperspectral imaging technology can detect both two-dimensional geometricspatial information and one-dimensional spectral information of the target. Ashyperspectral images carried by fine spectral information, target detection andrecognition based on hyperspectral is currently a hot research problem of targetdetection and recognition and remote sensing information processing.Hyperspectral image target detection and recognition system typically includesimage preprocessing, data reduction, unmixing, target detection and recognition et al.Hyperspectral target detection and recognition can be achieved by fine spectral analysisof hyperspectral images.This paper began with the difficult and application of hyperspectral image targetdetection and recognition, discussed and analyzed some key steps of hyperspectralimage target detection and recongnition by spectral analysis and provided a theoreticalbasis and premise for hyperspectral image target detection and recognition applications.The main research work and achievements of the paper include the following four parts:1. We registrated the original laboratory hyperspectral images by combined themultiresolution analysis (MRA) with Fourier Mellin transform (FMT) method,and achieved good results.2. As the original method of endmember estimation may lose small target, weuses the method based on noise-adjusted principal components analysis (NAPC)to estimate the number of endmember and improved the results.3. We evaluated the result of endmember extraction based on vertex componentanalysis (VCA) and unmixing, so that verified the validity of endmemberextraction and unmixing algorithm.4. We discussed and analyzed some classical algorithms of hyperspectral imagetarget detection and recognition based on typical application and mathematicalmodel. We analyzed and evaluated the results of these algorithms by signaldetection theory.