基于数据融合的浅层地下水提取技术研究

Research on Shallow Groundwater Information Extraction Based on Data Fusion

为提高浅层地下水遥感探测的准确性和效率,开辟遥感找水新思路,首次将空间分辨率为30 m的Landsat-7ETM多光谱数据和空间分辨率为150 m(Wide Swath模式)的Envisat-1 ASAR先进合成孔径雷达数据进行了融合,并利用基于主成分变换(PCA)和小波变换(WT)的融合算法成功地找到了浅层地下水信息异常带。通过实地调查和物探、钻探验证,I、II、III级找水靶区的富水性情况与预测结果基本一致,并在上述靶区找到了丰富的浅层地下水,证实了该方法的可行性和实用性,可为今后地下水快速勘察提供新的技术手段。

Aimed at improving the accuracy and efficiency of shallow groundwater exploration and opening up a new way to seek groundwater by remote sensing, this paper presents a new fusion algorithm based on Principal Component Analysis （PCA） and Wavelet Transformation （WT） by using Landsat -7 ETM data （spatial resolution being 30 m） and Envisat- 1 ASAR data （Wide Swath Mode, spatial resolution being 150 m） as the main fusiondata. According to the new fusion algorithm, anomaly information of shallow groundwater was successfully extracted. In combination with field investigation, geophysical exploration and drilling, the forecasting results of rating Ⅰ, Ⅱ and Ⅲ were in accordance with the actual state, and rich shallow groundwater was found. It is thus concluded that the method has some feasibility and practicability, and can serve as a new technique for rapid exploration of groundwater in the future.