Deep Layered Network Based on Rotation Operation and Residual Transform for Building Segmentation from Remote Sensing Images
Deep learning has been widely applied in building segmentation from high-resolution remote sensing (HRS) images. However, HRS images suffer from insufficient complementary representation of target points in terms of capturing details and global information. To this end, we propose a novel building s...
Saved in:
| Main Authors: | Shuzhe Zhang, Taoyi Chen, Fei Su, Hao Xu, Yan Li, Yaohui Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/8/2608 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Dynamic atrous attention and dual branch context fusion for cross scale Building segmentation in high resolution remote sensing imagery
by: Yaohui Liu, et al.
Published: (2025-08-01) -
Mixed multi-branch feature fusion model for efficient automatic building extraction from high-resolution remote sensing images
by: Yaohui Liu, et al.
Published: (2025-07-01) -
Multi-Scale Feature Mixed Attention Network for Cloud and Snow Segmentation in Remote Sensing Images
by: Liling Zhao, et al.
Published: (2025-05-01) -
BCTDNet: Building Change-Type Detection Networks with the Segment Anything Model in Remote Sensing Images
by: Wei Zhang, et al.
Published: (2025-08-01) -
CSNet: A Remote Sensing Image Semantic Segmentation Network Based on Coordinate Attention and Skip Connections
by: Jiahao Li, et al.
Published: (2025-06-01)