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Received：10 December 2020，
Published：07 July 2023
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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 an important prospecting indicator for many kinds of metallic hydrothermal deposits. Identifying the silicification alteration information rapidly and widely by remote sensing technology is vital. However
the width of the silicide alteration zone is only a few meters to hundreds of meters
and it appears as a thin band of a fine ribbon. At present
most of the commonly used thermal infrared data have low spatial resolution and fuzzy spatial details
which limit their applications in identifying microsilicide alteration zones. Based on the study of the land surface temperature anomaly characteristics of the siliceous alteration zone in the Rencha basin
the enhancement recognition model of siliceous alteration with weak information is established to strengthen the recognition and analysis of the siliceous alteration information.
In this study
the PAN image high-frequency component map and TIR image are weighted and fused by taking the uranium mining area in the Rencha basin of Guangdong Province as an example. Then
a remote sensing model of silicified alteration weakening information enhancement identification is established. This model is based on the analysis of the topographic characteristics of the silicified alteration zone in the Rencha basin and the discussion of its relationship with LST anomalies.
The results show that the weighted fusion of the PAN and TIR image can improve the spatial resolution of the TIR image and preserve the spectral characteristics of the thermal target effectively. In addition
the LST image slightly changes before and after fusion
and the latter improves the ability to identify the thermal anomalies of ground objects. Finally
the silicatization alteration zone
a high-temperature anomaly zone smaller than the fault zone in the approximate LST diagram
is predicted and identified accordingly.
In conclusion
the information on the silicified alteration zone in the Rencha basin can be enhanced by the LST retrieval of the weighted fusion image. The silicified bands predicted and identified via this method are consistent with the known ones. This finding illustrates that this method is well applied to identifying the silicified alteration zone in the uranium mining area of the Rencha basin.
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