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以广西苗儿山地区机载成像细分红外高光谱数据为例，探讨了高光谱数据的特点及其处理方法。编制了一系列数据预处理软件，对图像进行了条带去除、波段间配准、航向压缩、镜向变换、辐射校正、正切校正、相对反射率转换等预处理，获得了高质量图像； 在 Ｅ Ｎ Ｖ Ｉ软件基础上建立了研究区野外实测光谱曲线库及分类子库，并对各子库进行了系统研究。同时，提出了正确的图像配准方案，对图像进行了精校正和镶嵌，取得了满意的效果； 在纯净像元提取、混合像元分解、匹配滤波、光谱特征拟合等方面进行了探索，提取了该区铀矿化的特征光谱信息； 最后，探讨了高光谱数据的地质应用潜力，尤其在硅化带识别方面的应用取得了成功，发现了一系列的新的含铀硅化断裂带，预测了三个成矿有利地段。经验证，其中两片地区的铀明显偏高并有矿化显示。
Taking the infrared hyperspectral data of airborne imaging in Mianer Hill area of Guangxi as an example, the characteristics and processing methods of hyperspectral data are discussed. A series of data preprocessing software were prepared to obtain high quality images by preprocessing such as strip removal, registration between bands, heading compression, mirror transformation, radiation correction, tangent correction, relative reflectivity conversion and so on. E N V I software based on the establishment of the field of field measured spectral curve library and classification of sub-library, and the sub-libraries were systematically studied. At the same time, a correct image registration scheme is put forward, the image is finely corrected and tessellated, and satisfactory results are obtained. In the aspects of pure pixel extraction, mixed pixel decomposition, matched filtering and spectral feature fitting, Finally, the potential of geological application of hyperspectral data was explored. Especially, the application of the identification of silicidation zone was successful. A series of new uranium silicification fracture zones were discovered, and the predicted Three favorable conditions for mineralization. Two of these areas have been proven to have significantly higher levels of uranium and mineralization.