Recent advances in hyperspectral image processing  

作　　者：ZHANG Liangpei DU Bo 

机构地区：[1]State Key Laboratory of Information Engineering in Surveying,Mapping,and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China [2]School of Computer Science,Wuhan University,129 Luoyu Road,Wuhan 430079,China

出　　处：《Geo-Spatial Information Science》2012年第3期143-156,共14页地球空间信息科学学报（英文）

基　　金：This work was supported in part by the National Basic Research Program of China(973 Program)under Grant 2012CB719905 and 2011CB707105;the National Natural Science Foundation of China under Grant 61102128;HuBei Province Natural Science Foundation under Grant No.2011CDB455;China’s Post-doctoral Science Foundation under 211–180,788;the Fundamental Research Funds for the Central Universities under 211-274633.

摘　　要：Hyperspectral images(HSI)provide a new way to exploit the internal physical composition of the land scene.The basic platform for acquiring HSI data-sets are airborne or spaceborne spectral imaging.Retrieving useful information from hyperspectral images can be grouped into four categories.(1)Classification:Hyperspectral images provide so much spectral and spatial information that remotely sensed image classification has become a complex task.(2)Endmember extraction and spectral unmixing:Among images,only HSI have a complete model to represent the internal structure of each pixel where the endmembers are the elements.Identification of endmembers from HSI thus becomes the foremost step in interpretation of each pixel.With proper endmembers,the corresponding abundances can also be exactly calculated.(3)Target detection:Another practical problem is how to determine the existence of certain resolved or full pixel objects from a complex background.Constructing a reliable rule for separating target signals from all the other background signals,even in the case of low target occurrence and high spectral variation,comprises the key to this problem.(4)Change detection:Although change detection is not a new problem,detecting changes from hyperspectral images has brought new challenges,since the spectral bands are so many,accurate band-to-band correspondences and minor changes in subclass land objects can be depicted in HSI.In this paper,the basic theory and the most canonical works are discussed,along with the most recent advances in each aspect of hyperspectral image processing.

关 键 词：hyperspectral images CLASSIFICATION spectral unmixing endmembers extraction target detection hyperspectral change detection 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]