2022
DOI: 10.1117/1.jrs.16.046511
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Digital surface model generation from aerial imagery using bridge probability relaxation matching

Abstract: Optical image dense matching is a crucial step in the process of generating digital surface models (DSMs). Many existing dense matching methods have adopted pixelwise matching strategy and have achieved precise matching results; however, the methods are time consuming and have limited efficiency in high surveying and mapping production. We introduce a bridge probability relaxation matching method for automatic DSM generation. The method adopts a coarse-to-fine hierarchical strategy and achieves high matching a… Show more

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