Multi-source heterogeneous feature fusion and multi-scale ed…
Emerging
0
Citations52
Refs2026
Year
Search Works
Work Details
- DOI 10.1080/20964471.2026.2721138
- OpenAlex ID W7212264762
- Type Article
- Language EN
- Published 11 Sep 2026
- Pages 1–37
- Source Big Earth Data
- Publisher Taylor & Francis
- Countries 1
- Institutions 2
- Added 12 Sep 2026
- Updated 14 Oct 2026
External Links
MENU
0
Multi-source heterogeneous feature fusion and multi-scale edge enhancement method for open-pit mining land cover segmentation
Article 2026 EN Gold
Accurate land cover classification in mining areas is essential for environmental monitoring and resource management. However, this task is hindered by complex spectral-spatial characteristics and highly fragmented landscapes, where traditional single-source spectral analysis often fails to resolve “spectral ambiguity” among disparate land covers. To address this, we propose a Dual-Branch UNet (DB…
0
Citations
52
References
5
Authors
0.00
FWCI
Topics
Keywords
Authors & Affiliations
5 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Fengjian Ge | Fujian Normal University (CN) | |
| 2 | Jintai Long | Xiangtan University (CN) | — |
| 3 | Xinli Xia | Xiangtan University (CN) | — |
| 4 | quan cui | Xiangtan University (CN) | |
| 5 | Gaodian Zhou Corresponding | Xiangtan University (CN) |
Related Works
10Data: OpenAlex