高光谱遥感目标探测研究现状与典型应用

Hyperspectral remote sensing is a new detecting technology developed recently, it can greatly increase detection accuracy of target detection and material recognition in some degree, so any detection method can’t substitute it. Hyperspectral remote sensing has now becoming an important imaging reconnaissance in battle field, while target detection technology based on spectral dimension has been put much emphasis by research people. This paper presented main target detecting methods in hyperspectral remote sensing, concluded them as four methods: projection method, constrain method, matched method and mask method, etc. Every method was analyzed and compared. Since target detection technology in hyperspectral remote sensing is developing fast, this paper presented its typical application and forecasted its future developing direction.