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发表刊物：Journal of Applied Remote Sensing

摘要：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 accuracy and fast processing speed simultaneously. This method builds a self-adaptive

论文类型：期刊论文

是否译文：否

发表时间：2022-12-20

收录刊物：SCI

发布期刊链接：https://doi.org/10.1117/1.JRS.16.046511