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DEM纹理增强在松辽盆地南部控铀断裂识别中的应用
引用本文:易敏,邱骏挺,叶发旺,王建刚,郭强.DEM纹理增强在松辽盆地南部控铀断裂识别中的应用[J].铀矿地质,2021(2):235-243.
作者姓名:易敏  邱骏挺  叶发旺  王建刚  郭强
作者单位:核工业北京地质研究院遥感信息与图像分析技术国家级重点实验室;中国电子科技集团公司第三十六研究所;核工业北京地质研究院中核集团铀资源勘查与评价技术重点试验室
基金项目:松辽盆地铀成矿条件高分辨率遥感识别技术研究项目(编号:遥HSL1403-7)资助。
摘    要:文章利用纹理增强技术对松辽盆地南部通辽地区的DEM进行增强,并运用增强结果对该区线性构造进行解译。通过将遥感影像和DEM纹理增强图像进行综合,成功识别了乌兰浩特-扎赉特旗-龙江县一线的生长断裂和双辽地区的后生断裂,再通过将已知铀矿(化)点叠置于构造解译图上,发现铀矿(化)点与双辽后生断裂在空间上具有相关性,说明双辽后生断裂极可能是一条控制铀矿形成的断裂,也说明将DEM纹理增强图像同遥感影像结合可为覆盖区构造解译和铀成矿要素的识别提供新的思路和技术支持。

关 键 词:地形纹理增强  遥感地质解译  松辽盆地  断裂构造  铀矿化

Application of Terrain Texture Enhancement Technology in the Identification of Uranium Ore-field Control Faults in Southern Songliao Basin
YI Min,QIU Junting,YE Fawang,WANG Jiangang,GUO Qiang.Application of Terrain Texture Enhancement Technology in the Identification of Uranium Ore-field Control Faults in Southern Songliao Basin[J].Uranium Geology,2021(2):235-243.
Authors:YI Min  QIU Junting  YE Fawang  WANG Jiangang  GUO Qiang
Institution:(National Key Laboratory of Remoting Sensing Information and Image Analysis Technology,Beijing Research Institute of Uranium Geology,Beijing100029,China;The 36th Research Institute of China Electronics Technology Group Corpration,Jiaxing,Zhejiang314033,China;CNNC Key Laboratory of Uranium Resource Exploration and Evaluation Technology,Beijing Research Institute of Uranium Geology,Beijing100029,China)
Abstract:In this paper,the texture enhancement technique was used to enhance the DEM of the Tongliao area in the southern Songliao Basin,and the fault was interpreted using the enhanced results.By compositing the remote sensing images and texture-enhanced DEM,the growth faults running throng Wulanhaote-Jalaid Banner-Longjiang County and the post-sedimentation faults of Shuangliao area were successfully identified.By superimposing the known uranium deposits on the structural interpretation map,it is found that the uranium deposit is spatially related to the Shuangliao fault,indicating that the Shuangliao fault maybe control the uranium formation.The combination of texture-enhanced DEM with the remote sensing image may provide new ideas for the geological interpretation of the coverage area and the identification of uranium metallogenic elements.
Keywords:terrain texture enhancement technology  remote sensing geological interpretation  Songliao Basin  fault structures  uranium mineralization
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