The Research And Application Of Remote Sensing Image Geometric Correction Model

The so-called remote sensing digital images via satellite altitude to shoot the feature of electromagnetic radiation records, obtained by means of remote sensing image maps, general access to the channels is divided into different aerial photos (aircraft shooting) and bit-slice (taken by satellites). In fact, it is a feature of the spectral information, spatial information and time information, and feature a comprehensive description of the two-dimensional projection of the three-dimensional information. Of remote sensing images taken from remote sensing image geometric distortion due to the satellite flight track, undulating terrain, thick clouds and other factors, making the imaging process. In fact, the imagery geometric deformation is the image coordinate system conversion, the reference frame of the map coordinate system, showing the difference between the variation. As a result of this geometric distortion will reduce the value of the use of remote sensing images in some applications, you must use the model updating geometric distortion projected onto the correct projection system, high-resolution satellite remote sensing image, so it should correct use of value. One of the most important elements in the remote sensing information processing remote sensing image geometric correction. In this paper, the matching algorithm and correct the accuracy of the analysis of four geometric correction.In this paper, the nature and characteristics of remote sensing digital image processing systems, storage devices, imaging model introduced one by one. Geometric distortion factors, remote sensing image geometric correction, ground control point acquisition method and geometric precision correction analysis to do in-depth research. Automatic matching algorithm, remote sensing image geometric correction by the image of this article. Design and Implementation of the ultimate realization of remote sensing image geometric correction system. Module design based on the four kinds of development practices, using ENVI software design technology and software secondary development to achieve the geometric correction system. Experiment using a combination of methods of doing so with automatic automatic matching, the original image and the corrected image, the plurality of sets of control points to collect and select the error is within the allowable range, the distribution of the most uniform and the average number of a set of control point data, artificially increases the accuracy of the control point, in two geometric correction method, three resampling and, ultimately, high-precision image corrected. The results were analyzed and summarized. In this thesis, design and development of remote sensing image geometric correction system, the system uses the ENVI software secondary development, the functionality of the system image data access and output, display, and storage of the control point, polynomial correction and RST geometric correction etc., the control point acquisition and automatic image matching algorithm is implemented in the system.