| Nowadays,thermal infrared remote sensing technology has become one of the most important research in the field of remote sensing. The first premise of the apply of thermal infrared remote sensing technology is to pick up the temperature information from thermal infrared remote sensing image. Structure and the surface heat have close relations, also structure play an important role on the loop of terrestrial heat to the surface.Currently, Thermal infrared remote sensing is an important means of regional or global surface temperature inversion, using thermal infrared remote sensing inversion on some regional distribution of the surface temperature is of very important significance for studying the analysis,the current linear structure using thermal infrared remote sensing image interpretation research was relatively less. Early scholars’study are based on the use of visible light and near infrared for interpretation, but the use of visible light and near infrared to interpret just response to information from the surface, the thermal infrared remote sensing image can not only macro information, but also acquire the information of surface features, and be able to get part of the structure of the deep and hidden information.In this paper, based on "national natural science foundation of China:the sky open degree of research on the influence of urban heat island effect" and "high and new technology industry development in Yunnan province" project plan of mineral resources remote prediction evaluation technology applied in mineralization zone in northeast Yunnan, combined thermal infrared remote sensing and mathematical geology, using linear structure of thermal infrared remote sensing image interpretation, and put forward relevant information obtained from the thermal infrared remote sensing image structure method. Firstly, selected the two images of MODIS thermal infrared image and two Landsat-7 ETM+thermal infrared images inversion brightness temperature information in the study area. Secondly, the MODIS image and Landsat-7 ETM+ thermal infrared linear structural interpretation, based on the Landsat-7 ETM+ thermal infrared imagery interpretation of linear structure and MODIS thermal infrared imagery interpretation linear structure were analyzed. Finally, through the day and night of MODIS thermal infrared image difference algorithm, through the analysis of the temperature difference between day and night structure information.The thesis mainly the following results:1) This study used two sensors thermal infrared remote sensing image, respectively is the spatial resolution of 1 km of MODIS thermal infrared remote sensing image of the day, night scene image like and spatial resolution is 60 m Landsat-7 ETM+thermal infrared remote sensing image brightness temperature inversion; and the MODIS channel 31 and 32 channels of thermal infrared remote sensing the day, night scene image like brightness temperature inversion has carried on the comparison and analysis.2) MODIS thermal infrared remote sensing image and Landsat-7 ETM+ thermal infrared remote sensing image in the linear structural interpretation, by its length (log) histogram respectively after verified, all conform to the normal distribution assumption, and learn from their corresponding rose each bearing of the linear structure, namely the structure of the northeast China in NE and NW Yunnan to development is given priority to, SN and the structure of the EW to growth relatively weak position.3) Introduced in the structural quantitative analysis of linear density and intensity of the two basic variables, through based on the theory of mathematical geology, through linear structure diagram, the density and strength analysis of high value and low in the area, and of MODIS thermal infrared remote sensing image and Landsat-7 ETM+ thermal infrared remote sensing image of the linear structure characteristics were compared.4) Through the MODIS thermal infrared imaging with temperature between day and night, observe the different peaks, as well as day and night temperature range, day and night ground temperature information and so on. By the temperature difference between day and night high extreme value analysis of MODIS thermal infrared image found, high temperature above 15° area coincides with the fracture of structural distribution has some, high temperature area more evenly distributed around a general fault of structure, also observed deep fault structure reflected in the distribution of brightness temperature difference was not obvious, this is because the relationship between deep faults forming age, there also have more relationships require further study; by MODIS thermal infrared temperature difference between day and night Imaging extraction spaced isotherm,and the temperature isolines density calculations, stack geological map than on high temperature gradient and the faults found fit better, depending on where the gradient zone analysis of high temperature structure and the location of the hidden tectonic judgment.Paper based on the thermal infrared remote sensing image interpretation of linear structure analyzed tentatively explore, predecessors to the interpretation of the linear structure mainly through visible light and near infrared for interpretation, carry out linear structure in thermal infrared remote sensing image research is less; and through the performance of thermal infrared remote sensing image brightness temperature, day and night on the thermal infrared remote sensing image processing temperature gap between day and night. According to the temperature difference in the image information, obtained the corresponding thermal inertia in the feature information, and then to the inversion of the temperature difference between day and night figure compared with the regional linear structure, has good correlation between. And through the features of thermal inertia properties in thermal infrared remote sensing inversion can through high value gradient temperature difference between day and night the picture area reflect the tectonic position of ground objects and predictive judgment on concealed structures, through the difference in temperature of thermal infrared remote sensing image information can reflect the structural characteristics of large area from the macro, and judgment on the prospecting for mineral resources exploration, concealed structures provide basic data. |
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