Remote Sensing Image Processing | Views : 0 下载量: 383 CSCD: 0
  • Export

  • Share

  • Collection

  • Album

    • Global perception and detail enhancement network for building segmentation in remote sensing images

    • In the field of remote sensing image segmentation, experts have proposed an asymmetric remote sensing building segmentation network GPDEA UNet based on global perception and detail enhancement, which effectively improves the accuracy of building segmentation.
    • Vol. 30, Issue 8, Pages: 2866-2883(2025)   

      Received:23 October 2024

      Revised:2025-01-05

      Published:16 August 2025

    • DOI: 10.11834/jig.240629     

    移动端阅览

  • Xu Shengjun, Liu Yurui, Liu Erhu, Liu Jun, Shi Ya, Li Xiaohan. 2025. Global perception and detail enhancement network for building segmentation in remote sensing images. Journal of Image and Graphics, 30(8):2866-2883 DOI: 10.11834/jig.240629.
  •  
  •  
Alert me when the article has been cited
提交

相关作者

Li Xiaohan 西安建筑科技大学信息与控制工程学院;西安市建筑制造智动化技术重点实验室
Shi Ya 西安建筑科技大学信息与控制工程学院;西安市建筑制造智动化技术重点实验室
Liu Jun 西安交通大学电气工程学院
Liu Erhu 西安建筑科技大学信息与控制工程学院;西安市建筑制造智动化技术重点实验室
Liu Yurui 西安建筑科技大学信息与控制工程学院;西安市建筑制造智动化技术重点实验室
Xu Shengjun 西安建筑科技大学信息与控制工程学院;西安市建筑制造智动化技术重点实验室
Bai Yanhong 太原科技大学电子信息工程学院
Zhang Haoxue 太原科技大学电子信息工程学院;先进控制与装备智能化山西省重点实验室

相关机构

School of Electrical Engineering, Xi 'an Jiaotong University, Xi′an
Xi'an Key Labratory of Building Manufactaring Intelligent & Automation Technology
School of Information and Control Engineering, Xi'an University of Architecture and Technology
School of Electronic Information Engineering, Taiyuan University of Science and Technology
Shanxi Key Laboratory of Advanced Control and Equipment Intelligence
0