N-Net: a remote sensing image segmentation network with edge enhancement induction module
Aiming at the issue of rough edges and misidentification in remote sensing image segmentation using U-Net, this paper designs a deep learning image segmentation network (N-Net) which integrates an edge enhancement induction module. After training and testing on the WHU dataset, N-Net achieves better building edge recognition and extraction capabilities compared to U-Net, with minimal increase in computational complexity.
Authors
- Qian Su (ORCID: https://orcid.org/0000-0002-5455-7002)
- Rui Wang (ORCID: https://orcid.org/0000-0002-7116-6281)
- Jinsheng Ma
- G. Li
Institutions
- Aero Engine Corporation of China (China) (CN)
- Beihang University (CN)
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2025-10-13
- DOI
- https://doi.org/10.1049/icp.2025.2916
- Primary Topic
- Infrared Target Detection Methodologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00