Extracting built-up areas from Sentinel-1 imagery using land-cover classification and texture analysis

Volume: 40, Issue: 20, Pages: 8054 - 8069
Published: Apr 26, 2019
Abstract
Urban areas are continuously expanding, against the background of accelerating urbanization, while their correct detection might be useful in a wide range of applications in urban planning and environmental studies. The paper proposes the development of a new method for the detection of the built-up areas based on SAR (Synthetic Aperture Radar) data, combining two images on ascendant and descendant orbits, while keeping both polarizations. In...
Paper Details
Title
Extracting built-up areas from Sentinel-1 imagery using land-cover classification and texture analysis
Published Date
Apr 26, 2019
Volume
40
Issue
20
Pages
8054 - 8069
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.