国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

In the process of remote sensing image registration, the orthographic projection image will be expanded and sorted at the vertex of the rectangular box. However, due to the diversity of scene forms of ground objects and the variability of translation and rotation of image acquisition sensors, image feature regions present high overlapping coverage and poor differentiation, resulting in the position deviation of the same ground objects in different images, and this geometric distortion leads to a low average correct on-time allocation rate of remote sensing images. Therefore, an automatic remote sensing image registration system is designed by using triangulation irregular network technology. The remote sensing image collector, Angle sensor and data processor were modified, and the connection mode of the system power circuit was adjusted to realize the optimal design of the hardware system, so as to ensure the security and reliability of the database data. Using the optical principle of remote sensing image collector, the remote sensing image is generated, and the quality of the generated remote sensing image is guaranteed by the steps of atmospheric correction and image enhancement. The Harris operator is used to extract the feature points of remote sensing images, and the feature points are taken as the vertices. The triangulation irregularity network is constructed by the Delaunay criterion, and the division lines of remote sensing images are obtained to realize automatic segmentation of remote sensing images, so as to correct the deviation problem between images more accurately and solve the influence of geometric distortion on the correct registration rate of images. Through three steps of rough registration, fine registration and misregistration elimination, the automatic registration function of remote sensing image is realized. The experimental results show that compared with the traditional registration system, the correct registration rate of low and high resolution remote sensing images is improved by 3.5% and 1.9% respectively, and the acceleration ratio of the system is obviously improved.