Steady automatic matching method for high-resolution satellite image connecting points

Abstract

The invention discloses a steady automatic matching method for high-resolution satellite image connecting points. The method comprises the following steps of: A, performing automatic enhancement by using Wallis filter technology, generating pyramid images of each layer and extracting the images by using feature extraction operators; B, forecasting an initial point position of identical points by using satellite image orientation parameters and upper pyramid matching results of characteristic points, establishing an epipolar geometric constraint equation, and performing geometric coarse correction on matched window images; C, removing error matched points in the matching result of the pyramid images of each layer by using an RFM model-based block adjustment method; and D, repeating the steps B, C and D till the primary image layer, and finally refining the matching result by using a double-sheet least square matching method. The method can greatly reduce the artificial editing workload of connecting point measurement and improve the automation degree of satellite image data processing by combining block adjustment and satellite image matching, and has remarkable economic benefit and social benefit.

Description

technical field [0001] The invention belongs to the field of surveying and mapping science and technology, and more specifically relates to a robust automatic matching method for connection points of high-resolution satellite images. , to achieve automatic and reliable tie-point matching in high-resolution satellite imagery. technical background [0002] With the rapid development of earth observation technology, satellites with a resolution of less than 1m continue to emerge, such as the United States QuickBird (0.61m), WorldView-1 / 2 (0.5m), Geoeye (0.5m), etc., marking the high precision of surface information Get up from an aerial survey platform to an aeronautical survey platform. Using high-resolution satellite images, only a small number of ground control points are needed to obtain large-scale basic geographic information in a large area. High-resolution satellite images have been widely used in terrain surveying and mapping, resource investigation, disaster assessme...

AI Technical Summary

Problems solved by technology

[0013] The present invention aims at the shortcomings of many wrong matching points in the process of automatic matching of connection points between images of high-resolution satellite remote sensing images, and the time-consuming and laborious manual elimination of wrong matching points, etc., and proposes a robust and reliable high-resolution satellite connection point The automatic matching method can automatically find and eliminate wrong matching points during the matching process, realize automatic, reliable and accurate matching of connection points, greatly improve the automation of satellite image aerial triangulation, and greatly reduce the manual workload

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