Journal:Journal of Applied Remote Sensing
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 accuracy and fast processing speed simultaneously. This method builds a self-adaptive
Indexed by:Journal paper
Translation or Not:no
Date of Publication:2022-12-20
Included Journals:SCI
Links to published journals:https://doi.org/10.1117/1.JRS.16.046511
Date of Publication:2022-12-20