MineFormer: A lightweight edge-aware transformer for high-re…
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- DOI 10.1016/j.srs.2026.100426
- OpenAlex ID W7146986485
- Type Article
- Language EN
- Published 02 Apr 2026
- Volume 13
- Pages 100426
- Source Science of Remote Sensing
- Publisher Elsevier BV
- Countries 1
- Institutions 1
- Added 02 Apr 2026
- Updated 25 Oct 2026
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MineFormer: A lightweight edge-aware transformer for high-resolution semantic segmentation of open-pit mining area
Article 2026 EN Gold
Accurate identification of open-pit mining areas is crucial for sustainable land use and ecological restoration. Remote sensing (RS) technology provides an efficient and dynamic monitoring solution for large-scale open-pit mining area identification, overcoming the spatiotemporal limitations of traditional manual inspections to enable rapid perception of mining boundaries, mining activities dynami…
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UN Sustainable Development Goals
1 SDGsAuthors & Affiliations
4 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Zhuoqun Chai | Sun Yat-sen University (CN) | |
| 2 | Yibo Guo | Sun Yat-sen University (CN) | — |
| 3 | Mengxi Liu Corresponding | Sun Yat-sen University (CN) | |
| 4 | Qian Shi | Sun Yat-sen University (CN) |
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