| In the infrared simulation of geomorphology background,the ground object temperature field is the basic data of scene radiation characteristics calculation,and its reality affects the accuracy of simulation.In order to obtain the real temperature field of ground objects,it is not only necessary to classify the ground objects accurately,but also to modulate the temperature field in detail.Since high-resolution remote sensing data show more details in the categories of ground objects and topographic relief,this article applies it to infrared simulation,so as to draw a more precise and real geomorphologic scene.This paper analyzes the imperfections of the existing simulation framework,and uses high-resolution remote sensing data to improve the recognition and classification of ground objects,the detail modulation of ground temperature field and the geometric scene generation method in the simulation process.The main work is as follows :(1)The basic principles and ideas of geomorphology background simulation are analyzed,and the fine geomorphic geometric model is generated with the help of high-resolution digital elevation and three-dimensional modeling software.(2)Aiming at the shortcomings of inaccurate material classification and large error in geomorphic background simulation,the classification method of high resolution remote sensing images is studied.The high-resolution image is used to finely discriminate the ground objects,and the object-oriented method is used to classify the ground objects.At the same time,in order to improve the classification accuracy and meet the needs of subsequent simulation,the remote sensing image is upgraded before classification.(3)Aiming the lack of details and single temperature field modulation template of ground object temperature field,the detail modulation process of ground object temperature field in complex mountainous environment is studied based on high-resolution remote sensing data.the general idea of ground temperature field modulation is analyzed.Then,the relevant modulation factors are extracted from the remote sensing data,and their influence on the material temperature is analyzed in detail,and a complete modulation template of the ground object temperature field is established.Eventually,a more realistic ground temperature field is generated. |