Research On The Modulation Methods Of Infrared Texture Temperature Field Based On Optical Remote Sensing Images

Infrared scene simulation technology plays an indispensable role in the development of modern weapon systems.The authenticity of infrared scene simulation can provide better protection for the development of modern weapon systems.And the authenticity of the infrared scene simulation largely depends on the authenticity of the infrared texture.The infrared texture temperature field is an important data used to characterize the infrared texture.The distribution of the temperature field can directly affect the authenticity of the infrared texture.The optical remote sensing images have the characteristics of rich details,easy accessibility and ability to truly represent the distribution of landforms,and the infrared images belong to the images of two-dimensional electromagnetic energy distribution.Therefore,based on the optical remote sensing images,this paper studies how to modulate a more realistic infrared texture temperature field.In this paper,the development status of the infrared texture temperature fieldmodulation method is analyzed and the improvement of the modulation method is improved.The main contents are as follows:(1)The high real-life optical remote sensing imagesare an important prerequisite for modulating infrared texture temperature field.Through the existing infrared texture temperature field modulation generation framework,an image quality enhancement algorithm is introduced to improve the quality of the original remote sensing image and prepare for the subsequent temperature field modulation preparation.And the use of the shadow removal algorithm solves the shadows existing in the remote sensing images;the image restoration algorithm is used to solve the moving objects in the remote sensing images.(2)Focusing on the modulation of the infrared texture temperature field used a classification modulation method.First of all,from the specific characteristics of the material,according to the characteristics of the surface structure of the material in the remote sensing image,the surface of the material is divided into a flat surface and a undulating surface.Secondly,the relationship between the two surface structures and the temperature is carefully studied,and the corresponding infrared texture temperature field modulation model is derived.Finally,according to the modulation model,a preliminary infrared texture temperature field modulation result is obtained.(3)In-depth study of the impact of environmental factors on the temperature field in large-scale scene.Firstly,the principle and process of modulating the material temperature field using the elevation information of the ground features are introduced.Secondly,using the elevation angles,solar azimuths,and latitude and longitude information contained in the elevation data,the sun's orientation at different times is determined,and the proportion of solar radiation at different times is determined.Finally,using the proportion information,the infrared texture temperature field in a large-scale scene is modulated to obtain the final large-scale infrared texture temperature field.