中文摘要：

介绍了一种基于穷举法的高光谱遥感图像地物识别方法。该方法从所有与研究区有关的可能参考光谱中识别出图像上每个像元的最佳匹配光谱，绘制识别结果图，并由图中信息可对参考光谱进行更换，以求得最佳识别结果。并以云南省中甸普朗斑岩铜矿区外围的高光谱遥感图像为例，得到了该区的地物识别图，经实地检验．证实了该方法的有效性。

英文摘要：

A new approach for object identification based on the exhaustive method is proposed. Each pixel spectrum in the hyperspectral imagery has an optimal matching spectrum selected from all possible reference spectra that are correlated with the study area. The selection is done by computing the maximal angle cosine or correlation coefficient. Thus, identification maps are created by the identification results of all pixels. Some reference spectra are changed against the information in the maps to obtain better identification results. This approach is applied to a hyperspectral image of the peripheral area of Pulang porphyry copper deposit, Zhongdian County, Yunnan Province, China. The results show that this method is effective and practical.