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沉积岩石信息的热红外多光谱遥感探测及有效性评价
引用本文:丑晓伟,傅碧宏.沉积岩石信息的热红外多光谱遥感探测及有效性评价[J].遥感技术与应用,1996,11(1):7-13.
作者姓名:丑晓伟  傅碧宏
作者单位:中国科学院兰州地质研究所
摘    要:在对热红外多光谱(TIMS)遥感的探测机理及其图像专题信息提取方法的综合分析基础上,以不同沉积岩石的化学成分,矿物组成,结构,反射和发射光谱特征的实验室分析温度测试结果为依据,对不同沉积岩石的热红外多光谱遥感成像机制进行了探讨,并对比分析了不同沉积岩石TIMS图像和TM图像的识别效果。

关 键 词:沉积岩石  热红外多光谱  遥感探测

Thermal infrared Multispectral Remote Sensing Detecting and Its Effectiveness Evaluation of Sedimentary Rock
Chou Xiaowei, Fu Bihong, Zheng Jianjing.Thermal infrared Multispectral Remote Sensing Detecting and Its Effectiveness Evaluation of Sedimentary Rock[J].Remote Sensing Technology and Application,1996,11(1):7-13.
Authors:Chou Xiaowei  Fu Bihong  Zheng Jianjing
Affiliation:(Lanzhou Institute of Geology,Academia Sinica, Lanzhou 730000)
Abstract:Thermal infrared multispectral scanner (TIMS) remote sensing is a new technology for resources exploration which has been developed since 1980's. It mainly detect the thermal radiation information of different ground objects, and the information include emission spectrum and surface temperature. All the spectral feature of ground objects in thermal infrared region are the function of wavelength, they are mainly related with the component and texture of ground objects. Therefore,the different ground objects can be effectively identified from TIMS imagery by use of suitable computer image processing method to extract their emission spectral contrast information. With the example of sedimentary rock, the detecting mechanism, imageprocessing method, and lithologic identification effectiveness of thermal infrared multispectral remote sensing have been approached in this paper. Based on synthetical analysis of the composition, texture,reflectance and emission spectrum of different sedimentary rocks, the authors have compared the lithologic identification effectiveness of TIMS imagery with the landsat thematic (TM) imagery. The results show that TIMS imagery can not only identify abundant lithologic information, but also distinguish the sandstone and argillaceous rocks, and the dark color rocks which riched in organic material. All these lithologic information can not be directly detected from the visible-near infrared and shortwave infrared regions.
Keywords:Sedimentary rock  Thermal infrared multispectra  Remote sensing detecting
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