硅化蚀变带是多种金属热液矿床的重要找矿标志之一,利用遥感技术实现快速大范围识别硅化蚀变信息具有重要意义,但硅化蚀变通常为弱信息,目前常规的遥感方法难以有效识别。本文以广东省仁差盆地铀矿区为例,以PAN图像高频分量图与TIR图像进行加权融合并进行地温反演,分析硅化蚀变带与地温异常的关系,建立遥感硅化蚀变弱信息增强识别模型。结果表明：采用PAN图像高频分量图像与TIR图像进行加权融合,可提高TIR图像的空间分辨率,较好保存热目标光谱特征；融合前后数据反演的LST图变化不大,后者提高了对地物热异常识别能力；硅化蚀变带在近似LST图中表现为较断裂带更为细小的高温异常带,并以此为依据进行预测识别。经验证,已知硅化带与识别硅化带较为吻合。

The silicification alteration zone is one of the important prospecting indicators for many kinds of metallic hydrothermal deposits. It is of great significance to identify the silicification alteration information rapidly and widely by remote sensing technology. However, the width of the silicide alteration zone is only a few meters to hundreds of meters, presenting a fine ribbon. At present, most of the commonly used thermal infrared data have low spatial resolution and fuzzy spatial details, which limits its application in the identification of micro silicide alteration zones. Based on the study of the geothermal anomaly characteristics of the siliceous alteration zone in Rencha basin, the weak information enhancement recognition model of siliceous alteration is established to strengthen the recognition and analysis of the siliceous alteration zone information.