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为了精确识别高光谱遥感图像上的地物,使用交叉相关光谱匹配方法获取光谱整体形态的最大偏移量,通过对比分析吸收谷位置变化获取吸收谷位置的最大偏移量,在此基础上确定吸收谷位置的偏移范围;然后使用穷举法,进行基于整体形态和偏移范围内局部吸收谷位置的识别。在云南中甸普朗斑岩铜矿区的高光谱遥感图像的实际应用表明,该方法的识别结果比仅考虑整体形态的识别结果具有更高的可靠性,能进一步证实识别结果的准确性。
In order to accurately identify the features on the hyperspectral remote sensing image, the maximum offset of the overall shape of the spectrum is obtained by using the cross correlation spectroscopy matching method, and the maximum offset of the position of the absorption valley is obtained by comparing the changes of the positions of the absorption valleys. Based on this, The shift range of the valley position is absorbed; and then the exhaustive method is used to identify the position of the local absorption valley based on the overall shape and offset range. The practical application of hyperspectral remote sensing imagery in the Pulang porphyry copper deposit in Zhongdian, Yunnan Province shows that the recognition result of this method is more reliable than the recognition result considering only the whole morphology, which can further confirm the accuracy of the recognition result.