Camouflage Target Recognition Based on Dimension Reduction Analysis of Hyperspectral Image Regions

Hyperspectral reconnaissance technology can realize three-dimensional by using target space and spectral information, which effectively improves the efficiency of battlefield reconnaissance. However, in order to obscure what is true false confuse enemy, camouflage also developing. Hiding background environment setting targets have become common procedures on battlefield. The camouflaged has very similar spatial characteristics real target, so method identifying according similarity threshold original data no longer reliable. In solve problem high low discrimination between a hyperspectral image, joint processing spectrum information adopted this paper. Firstly, image preprocessed, then area be measured determined. Finally, dimensions determined sensitive small are reduced. Experiments show that reduce targets, increase difference improve ability identify based images.