ASTER数据的煤矿区水体信息提取

为实现多光谱数据对煤矿区水体信息提取，以萍乡市芦新岭及周边煤矿为试验区，在国内外学者对水体指数法提取水体信息和应用的启发下，对试验区不同地物的波谱特征进行分析。本文首先利用数学统计方法建立一种ASTER数据综合归一化差异水体指数模型SWI ASTER_xy，然后利用这一模型对试验区进行水体信息提取。试验表明，该模型能够有效地提取矿区各类水体，还可以运用在ASTER数据（或其他多光谱数据）对不同区域不同地物的提取，在遥感地物定量提取上具有很好的效果和潜力，具有一定的推广价值。

Extraction of water body information in coal mine area based on ASTER data

In order to realize multi-spectral data extraction of water body information in coal mining area, the Luxinling and surrounding coal mines in Pingxiang city are used as experimental areas. Under the inspiration of scholars at home and abroad on the use of water body index method to extract water information and application, the spectral characteristics of different objects in the experimental area are analyzed. Firstly, a mathematical normalization method is used to establish a synthesize water index model SWI ASTER_xy on ASTER data. Then, the model is used to extract water information from the experimental area. Experiments show that the model can effectively extract the mining area. Water-like body, and the model can also be used in the extraction of different features in different regions by ASTER data (or other multi-spectral data). It has good effect and potential in remote sensing quantitative extraction, and has certain popularization value.