Associated parallel matching method for multi-source multi-track long-strip satellite remote sensing images

Abstract

The invention discloses an associated parallel matching method for multi-source multi-track long-strip satellite remote sensing images. The spatial structure and contrast of local textures of images are subjected to statistical analysis through introducing a characteristic evaluation operator; by using an associated matching strategy for multi-track satellite images, the maximum overlapping times of connecting points among tracks is ensured; under the assistance of global SRTM (shuttle radar topography mission) data, an approximate epipolar geometric constraint is established by using topographic fluctuation changes, thereby greatly reducing epipolar prediction errors caused by elevation errors; a small-surface-element geometric correction method and a control network based matching growth algorithm are comprehensively utilized, and through continuously refining a difference compensation model, geometric and radial distortions among multi-source images are eliminated, and finally, stable and high-precision matching results are obtained; through carrying out integration and improvement on a matching process and a matching strategy, a more perfect matching scheme is provided for the associated processing of multi-source multi-track long-strip satellite images, and a guarantee is provided for the integrated application of massive satellite remote sensing data.

Description

technical field [0001] The invention belongs to the field of surveying and mapping science and technology, and relates to a multi-source multi-track long-strip satellite remote sensing image joint parallel matching method, which is mainly used in the fields of aerial triangulation, digital surface model production and the like. Background technique [0002] In the past 20 years, with the rapid development of aerospace technology, the number of satellites in orbit has increased sharply, and more and more satellite data have been applied to the field of photogrammetry. The use of satellite data for the production of surveying and mapping products has become an important means of geospatial information acquisition. . Since the satellite imaging system has the characteristics of wide coverage, short operation period, stable attitude, and many redundant observations when flying at high altitude, this is of great significance for the elimination of "sick solutions" in image matchi...

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Problems solved by technology

In addition, the existing methods cannot completely eliminate the differences in spatial resolution, incident angle, phase, and imaging mechanism between images, resulting in the failure of the matching algorithm; and for texture-poor areas, the encryption of matching points has always been an urgent need. Difficult problems to solve

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