Research On Temperature Field Based On Spaceborne Thermal Infrared And Visible Light Remote Sensing Data

With the rapid development of satellite remote sensing technology,in order to meet different application requirements,sensors carried by satellites have become diversified and differentiated.In order to break through the limitation of single remote sensing method,the fusion and use of different remote sensing data has gradually become the trend of future development.In particular,the fusion application of thermal infrared and visible remote sensing data can receive target information of different dimensions due to its different imaging principles.The surface temperature information obtained by thermal infrared remote sensing is a key index for the comprehensive analysis of the earth's surface.The visible light remote sensing has excellent ground resolution and incomparable advantages in accurate ground positioning and stereoscopic imaging.Combined application of thermal infrared remote sensing and visible remote sensing data can provide support for ecological environment,resource detection,disaster warning or analysis,military application and other fields on a global scale.Based on the application of spaceborne thermal infrared and visible stereo remote sensing data fusion,this paper focuses on the study of thermal infrared and visible image registration and thermal infrared surface temperature inversion,and finally constructs the surface three-dimensional temperature field and preliminarily explores its application value.This paper first introduces the background and significance of spaceborne thermal infrared and visible light data fusion,and summarizes the current situation at home and abroad.Based on the analysis of the basic concept of thermal infrared remote sensing and the basic principle of visible three-line array imaging,the feature-based image matching is emphatically studied,and a matching method of infrared image and visible image based on SIFT and ORB feature points extraction is proposed with full consideration of image feature information and the distribution of homonymous points.In this method,SIFT points obtained with high precision were employed to carry out global geometric constraints on ORB feature points,and then the feature points of infrared image and visible image based on multi-feature point detection were finally matched.At the same time,combined with the thermal infrared remote sensing radiation transmission equation,the interaction between the atmosphere and the surface and radiation was analyzed,and the temperature inversion algorithm was deduced.This paper makes a quantitative analysis of the commonly used single channel temperature inversion algorithm and compares the accuracy and stability of different algorithms in practice.Finally,a three-dimensional surface temperature field with high precision 3d coordinates and temperature information was constructed by surface temperature inversion products and visible image data.Taking fuling district of chongqing city and yulong snow mountain of lijiang city as the research area,the application of three-dimensional surface temperature field was preliminarily explored to verify the feasibility of the spaceborne thermal infrared and visible light data fusion proposed in this paper,and to provide a composite data basis for future research and application in many fields.