Automatic Correction Method of Spaceborne Optical Remote Sensing Image Based on Vector Basemap Matching

Abstract

The invention provides a method for automatically correcting a satellite borne optical remote sensing image based on vector base map matching. The method is characterized in that the method includes the following steps: A. geocoding a to-be-corrected image according to a specified resolution; B. converting a vector diagram to a binaryzation raster image at the specified resolution, making the to-be-corrected image and the vector diagram have the same resolution; C. with the vector diagram as a control base map, on the basis of the geological information of the to-be-corrected image and the control base map, determining a common region among images; and D. within the common region that is determined by C, conducting automatic matching between same-resolution to-be-corrected images and a binarized control base map, taking the obtained matching point pair as control points for correcting the remote sensing images. According to the invention, the method is characterized by excellent stability and high positioning precision. The method increases the types of control base maps that can be subject to automatic satellite borne optical remote sensing image correction. The method also effectively addresses the problems of automatic correction of satellite borne optical remote sensing images that are not covered in areas contained in traditional optical control image coverage areas.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to an automatic correction method for spaceborne optical remote sensing images based on vector basemap matching. Background technique [0002] With the successful launch of various optical remote sensing satellites (Gaofen-1, Gaofen-2, Ziyuan-3, etc.), the amount of remote sensing image data is increasing. In order to make remote sensing image data truly become the carrier of geospatial information, To support subsequent applications, each pixel of the remote sensing image needs to be endowed with precise geographical location information, which puts forward higher and higher requirements for the automatic and precise correction technology of the remote sensing image. At present, in order to achieve high-precision positioning of spaceborne optical remote sensing images, it is necessary to use a controlled correction method. This type of method often uses high-precision positi...

AI Technical Summary

Problems solved by technology

However, the vector image only records the positioning information of the target of interest, which is different from the information recorded by the raster image. The existing matching algorithm cannot be applied to the automatic matching process between the remote sensing image and the raster image. Algorithm for Automatic Matching with Vector Control Basemap

[0007] (3) In the existing automatic correction methods for spaceborne optical remote sensing images, matching methods based on feature descriptors and regional statistical correlations are often used, which do not consider the geometric distortion in the scene in spaceborne remote sensing images, which affects the slice center positioning accuracy of

[0009] In summary, the existing automatic correction of spaceborne optical remote sensing images is mainly based on the automatic matching of optical control basemaps, and there are very few studies on the automatic correction of spaceborne remote sensing images based on vector basemap matching.

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