Method for precisely correcting satellite-borne optical linear array image based on linear characteristic

Abstract

The method relates to a method for precisely correcting a satellite-borne optical linear array image based on a linear characteristic. The method comprises the following step of precisely correcting the satellite-borne optical linear array image directly by making use of a linear characteristic of a remote sensing image and a ground without using a control point, and comprises the following specific steps of: 1) establishing a model; 2) calculating an initial parameter of the model; 3) calculating a precise parameter of the model; and 4) correcting the satellite-borne optical remote sensing image. Compared with the prior art, the invention has the advantages of realizing precise geometric correction of the satellite-borne remote sensing image without selecting the control point.

Description

technical field [0001] The invention relates to photogrammetry and remote sensing, in particular to a method for precise correction and processing of space-borne optical line array images based on straight line features. Background technique [0002] The classic geometric correction methods of remote sensing images are to select enough corresponding control points, and solve the imaging model parameters according to the corresponding geometric correction model, and then realize the precise geometric correction of remote sensing images. Currently, there are two main imaging modes for high-resolution remote sensing images: frame imaging (including area array CCD images) and linear array imaging, and high-resolution spaceborne optical images are mostly linear array imaging. Precise geometric correction of both imaged images can be achieved with sufficient corresponding control points. However, control points need to accurately select obvious target points, corner points, road ...

AI Technical Summary

Problems solved by technology

However, control points need to accurately select obvious target points, corner points, road intersections, etc., which are usually difficult to select; especially when there is not enough feature information in areas with poor ground features, control points cannot be selected, and a small number of line features become An Important Basis for Remote Sensing Image Correction

At present, there are some research results on line feature orientation, aerial triangulation, and image registration correction methods of framed optical images. There are few literatures on precise correction of spaceborne line array images based on line features. The main difficulties are: (1) The imaging parameters of each row of pixels in the linear array image change with time, and the imaging parameters of the pixels on each line are different; (2) Different pixels of a line have different external orientation elements, so that the established line equation and photogrammetry have the same The line model equation produces correlation, and the model parameters cannot be calculated correctly

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