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A hierarchical progressive recognition network for building change detection in high‐resolution remote sensing images

Autor(en): ORCID (College of Electronic Information and Physics Central South University of Forestry and Technology Changsha China)
(College of Electronic Information and Physics Central South University of Forestry and Technology Changsha China)
ORCID (Chongqing Sanxia Paints Company Limited Chongqing China)
(College of Electronic Information and Physics Central South University of Forestry and Technology Changsha China)
(College of Electronic Information and Physics Central South University of Forestry and Technology Changsha China)
(School of Biological Engineering Hunan Polytechnic of Environment and Biology Hengyang China)
(College of Electronic Information and Physics Central South University of Forestry and Technology Changsha China)
(College of Electronic Information and Physics Central South University of Forestry and Technology Changsha China)
(College of Electronic Information and Physics Central South University of Forestry and Technology Changsha China)
(Department of Soil and Water Systems University of Idaho Moscow Idaho USA)
Medium: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: Computer-Aided Civil and Infrastructure Engineering
DOI: 10.1111/mice.13330
Structurae kann Ihnen derzeit diese Veröffentlichung nicht im Volltext zur Verfügung stellen. Der Volltext ist beim Verlag erhältlich über die DOI: 10.1111/mice.13330.
  • Über diese
    Datenseite
  • Reference-ID
    10791628
  • Veröffentlicht am:
    01.09.2024
  • Geändert am:
    01.09.2024
 
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