MIRN: A Global Context and Progressive Feature Alignment Network for Oriented Object Detection of Multimineral in Mining Areas

Intelligent mining area detection is fundamental for ecological monitoring and sustainable development of mining areas. However, current remote sensing detection lacks high-quality multimineral rotated object detection datasets, hindering deep learning model training. This article constructs a high-...

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Autori principali:	Xinrui Yu, Wenxi He, Haoyi Wang, Zhenyu Wang, Bing Tu, Weitao Chen
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2026-01-01
Serie:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soggetti:	Deep learning feature alignment mining area object detection remote sensing transformer
Accesso online:	https://ieeexplore.ieee.org/document/11397817/
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