0
  • DE
  • EN
  • FR
  • Base de données et galerie internationale d'ouvrages d'art et du génie civil

Publicité

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

Auteur(s): 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)
Médium: article de revue
Langue(s): anglais
Publié dans: Computer-Aided Civil and Infrastructure Engineering
DOI: 10.1111/mice.13330
Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1111/mice.13330.
  • Informations
    sur cette fiche
  • Reference-ID
    10791628
  • Publié(e) le:
    01.09.2024
  • Modifié(e) le:
    01.09.2024
 
Structurae coopère avec
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine