Personal Information

  • Doctoral Supervisor
  • Master Tutor
  • (Professor)

  • Gender:

    Male

  • Contact Information:

    15827188114

  • Status:

    Employed

  • School/Department:

    测绘遥感信息工程全国重点实验室

  • Date of Birth:

    1976-03-21

  • Alma Mater:

    武汉大学

  • Status:

    Employed

  • School/Department:

    测绘遥感信息工程全国重点实验室

  • Date of Employment:

    2004-07-01

  • Administrative Position:

    副主任

  • Business Address:

    武汉大学星湖实验大楼713

  • Contact Information:

    15827188114

Other Contact Information

  • ZipCode

  • Fax

  • PostalAddress

  • Telephone

  • Email

Paper Publications

Current position: Home > Scientific Research > Paper Publications

Joint content-aware and difference-transform lightweight network for remote sensing images semantic change detection

  • Time:2025-11-01
  • Hits:

  • DOI number:

    10.1016/j.inffus.2025.103276

  • Affiliation of Author(s):

    Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430079, Peoples R China

  • Journal:

    INFORMATION FUSION

  • Funded by:

    This work is supported by National Key Research and Development Program of China with grant number 2

  • Key Words:

    Semantic change detection,Semantic segmentation,Binary change detection,Lightweight network,Remote sensing images

  • Abstract:

    Advancements in Earth observation technology have enabled effective monitoring of complex surface changes. Semantic change detection (SCD) using high-resolution remote sensing images is crucial for urban planning and environmental monitoring. However, existing deep learning-based SCD methods, which combine semantic segmentation (SS) and binary change detection (BCD), face challenges in lightweight design and consistency between semantic and change results, limiting their accuracy and applicability. To overcome these limitations, we propose the Joint Content-Aware and Difference-Transform Light

  • Co-author:

    Xianwei,Lv, Bowen,Cai, Zhizheng,Zhang, Xiao,Huang, Ruiqian, Deren,Li,Zhang

  • Indexed by:

    Journal paper

  • Correspondence Author:

    Zhenfeng,Shao

  • Document Type:

    Article

  • Volume:

    123

  • ISSN No.:

    1566-2535

  • Translation or Not:

    no

  • Date of Publication:

    2025-11-01

Copyright @ 2017 Wuhan University

Back
Top