Method for optimally and automatically selecting minimum image set on basis of consideration of topological geometry multi-element constraints

Abstract

The invention discloses a method for optimally and automatically selecting a minimum image set on the basis of consideration of topological geometry multi-element constraints. The method includes thefollowing steps that: the coverage range of each image is determined by using auxiliary data (including position, posture, etc.) of the photographing of a mobile remote sensing platform and the imaging size of a camera, and an image adjacency matrix is established; topological geometry elements such as a base-height ratio, an overlap degree and an image intersection angle, which are related to stereoscopic image matching stability are extracted on the basis of the image adjacency matrix, a functional relationship between the topological geometry elements and the stereoscopic image matching stability is established; image factors such as ambiguity and texture complexity, which can reflect image quality, are extracted, a functional relationship between the image factors and the number and spatial distribution of extracted features is established; and on the basis of the above research results, a comprehensive function relationship among the topological geometry elements, the image factors and the number of adjacent images is considered a plurality of times, and the weight of the importance of the images is judged; and with minimum N-ocular vision adopted as a constraint condition, the necessity of each image in participating matching is determined sequentially, and redundant images are eliminated, and a minimum image set which satisfies a multi-vision image matching stability requirement is optimally selected.

Description

technical field [0001] The invention belongs to the field of image matching, and in particular relates to an adaptive optimization method for a minimum image set taking into account topological geometry multi-element constraints. Background technique [0002] The rapid development of mobile remote sensing platforms has made it easier and cheaper for people to obtain remote sensing images. Mount sensors such as digital cameras, video cameras, and tilt cameras on mobile platforms such as drones and vehicles, and indirectly restore the three-dimensional structure of objects in the survey area through multi-view image matching. And other fields have a very broad application prospect, which has greatly promoted the development of geographic national conditions monitoring technology. However, considering the existence of errors such as POS system error and camera shake of the mobile remote sensing platform, in order to obtain complete range and detailed ground object information,...

AI Technical Summary

Problems solved by technology

[0017] The purpose of the present invention is to design a minimum image set that takes into account the constraints of topological geometry and multi-element constraints to solve the problem of low image matching efficiency due to the large amount of data redundancy in the massive short-baseline, high-overlapping, and multi-angle image sets acquired by the mobile remote sensing platform. Adapt to the preferred method, optimize the data structure

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