Detecting building boundary using residual U-Net

Suhong Yoo, Jisang Lee, Junsu Bae, Honggyoo Sohn

Research output: Contribution to conferencePaper

Abstract

In order to automatically extract buildings from satellite images, we conducted experiments using Residual U-Net, one of semantic segmentation algorithms. Although limitations have been found, it has the advantage of automatically and quickly acquiring the building information which has been manually extracted by humans in the past.

Original languageEnglish
Publication statusPublished - 2020 Jan 1
Event40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019 - Daejeon, Korea, Republic of
Duration: 2019 Oct 142019 Oct 18

Conference

Conference40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019
CountryKorea, Republic of
CityDaejeon
Period19/10/1419/10/18

All Science Journal Classification (ASJC) codes

  • Information Systems

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    Yoo, S., Lee, J., Bae, J., & Sohn, H. (2020). Detecting building boundary using residual U-Net. Paper presented at 40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019, Daejeon, Korea, Republic of.