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为了更好地识别蚀变矿物并对不同种类的蚀变矿物加以区分,需要仔细研究蚀变矿物之间的光谱差异,尤其需要结合现有遥感器光谱通道研究其可区分性.利用MATLAB语言开发了自动寻找可区分光谱区间和可区分传感器通道的分析工具.根据设定的阈值可以寻找在阈值范围内的可区分通道和可区分光谱区间.最后对TM、ASTER、HYPERION等传感器的可区分性进行了对比分析.实验结果可见:高光谱传感器HYPERION能识别和区分蚀变矿物的通道比TM、ASTER传感器的多几倍甚至几十倍,所开发的分析工具能够正确地区分可区分的区间,具有较大的推广价值.
In order to better identify alteration minerals and distinguish different types of altered minerals, it is necessary to carefully study the spectral differences between altered minerals, and in particular, it needs to study the distinguishability of existing remote sensor spectral channels. Analyze tools that can automatically find distinguishable spectral intervals and distinguish sensor channels.Differentiated channels and distinguishable spectral intervals within the threshold range can be found according to the set threshold.Finally, the discriminability of TM, ASTER, HYPERION and other sensors The results of the experiment show that the hyperspectral sensor HYPERION can identify and distinguish the channels of altered minerals more than several times or even tens of times more than those of TM and ASTER sensors and the analysis tools developed can correctly distinguish the distinguishable intervals, Has a larger promotional value.