首页|虎头山地区多平台同步热红外遥感稀有金属岩脉识别

虎头山地区多平台同步热红外遥感稀有金属岩脉识别

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华北陆块北缘稀有金属矿床岩脉的遥感识别调查具有重要现实需求和理论研究意义.针对岩脉识别技术难点和研究区特殊的地质背景,提出来一种"天-空-地"同步热红外遥感铌钽多金属矿床岩脉识别算法,以辅助成矿岩脉识别.算法以Landsat-8卫星数据和同步采集的无人机热红外数据为主要数据源,解算修正地表比辐射率.结合天河石化钠长花岗岩的发射特征,利用阈值分割法划定13处岩脉发育区并开展野外踏勘查证.结果表明:提出的岩脉识别算法的准确性和可靠性较高,"天-空-地"同步热红外遥感可用于虎头山地区稀有金属岩脉识别.本研究为区域后续铌钽矿勘察工作提供了指导,同时也为可为稀有金属矿床的遥感探测识别提供有益参考.
Identification of Rare Metal Dikes by Multi-Platform Synchronous Thermal Infrared Remote Sensing in Hutoushan Area
Remote sensing identification of rare metal deposit dikes in the north margin of North China block has important practical needs and theoretical significance.In view of the technical difficulties of vein recognition and the special geological background of the study area,it proposes a"Space-Sky-Ground"synchronous thermal infrared remote sensing algorithm for Nb-Ta polymetallic deposit vein recognition to assist the identification of metallogenic veins.The algorithm uses landsat-8 satellite data and UAV thermal infrared data collected synchronously as the main data source to calculate and correct the surface specific emissivity.Combined with the emission characteristics of Tianhe Petrochemical albite granite and threshold segmentation method,13 dike development areas were delimited and verified in the field.The results show that the accuracy and reliability of the proposed algorithm are high,and the"Space-Sky-Ground"synchronous thermal infrared remote sensing can be used to identify rare metal dikes in Hutoushan area.This study has provided guidance for the exploration of niobium-tantalum deposits in the study area,and will also provide a useful reference for the remote sensing detection and identification of rare metal deposits.

thermal infrared remote sensingrare metalvein identificationemissivity correctionremote sensing

汪大明、栗旭升、魏佳林、曹思琦、汪翡翠、仝云霄、闫国强

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中国地质调查局天津地质调查中心,天津 300170

中国地质调查局华北地质科技创新中心,天津 300170

天津市海岸带地质过程与环境安全重点实验室,天津 300170

热红外遥感 稀有金属 矿脉识别 比辐射率修正 遥感

国家重点研发计划项目国家自然科学基金项目&&

2022YFB390200042272346DD20230327

2024

地球科学
中国地质大学

地球科学

CSTPCD北大核心
影响因子:1.447
ISSN:1000-2383
年,卷(期):2024.49(6)