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

Author(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)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering
DOI: 10.1111/mice.13330
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1111/mice.13330.
  • About this
    data sheet
  • Reference-ID
    10791628
  • Published on:
    01/09/2024
  • Last updated on:
    01/09/2024
 
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