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高光谱遥感影像具有丰富的光谱信息，在地物分类识别方面具有明显的优势。
The hyperspectral remote sensing image is rich in spectrum information, so it can be better to carry on the ground targets classification.
利用该方法进行处理，当高光谱数据维数降低了90%时，9类地物分类实验的总体分类精度可以达到80.2%。
When the data dimensionality is reduced 90% by using the proposed method, the overall classification accuracy of nine classes of ground cover reaches 80.2%.
MSI200型成像光谱仪因能成像，可通过图像明确地物目标，并得到该地物纯光谱信息，可以利用该信息进行地物分类识别并成图。
The imaging spectrometer MSI200 can demonstrate object through image and extract the pure spectral information that can be use to distinguish and engender single image.
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