Comparison between Object-based Method and Deep Learning Method for Extracting Road Features Using Submeter-grade High-resolution Satellite Imagery

Lee, Dong Gook; You, Ji Ho; Park, Sung Geun; Baeck, Seung Hyub; Lee, Hyun Jik

doi:10.18494/sam.2019.2472

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2021

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“…Meanwhile, land use classification and geospatial feature extraction technology, change detection and time-series monitoring technology, and digital surface model (DSM) and digital terrain model (DTM) extraction technology are currently under development for the purposes of monitoring land. (1) In particular, land use classification and geospatial feature extraction can provide excellent indicators of the environment (2,3) and environmental changes. (4) For land use classification and geospatial feature extraction from high-resolution satellite images, an objectbased classification method, which classifies a group of pixels recognized together as an object, is commonly used.…”

Section: Introductionmentioning

confidence: 99%