March 25, 2024, 4:44 a.m. | Zilin Xie, Kangning Li, Jinbao Jiang, Jinzhong Yang, Xiaojun Qiao, Deshuai Yuan, Cheng Nie

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.15032v1 Announce Type: new
Abstract: Open-pit mine change detection (CD) in high-resolution (HR) remote sensing images plays a crucial role in mineral development and environmental protection. Significant progress has been made in this field in recent years, largely due to the advancement of deep learning techniques. However, existing deep-learning-based CD methods encounter challenges in effectively integrating neighborhood and scale information, resulting in suboptimal performance. Therefore, by exploring the influence patterns of neighborhood and scale information, this paper proposes an Integrated …

abstract advancement arxiv change cs.cv detection development environmental images information mine network progress protection resolution role scale sensing type

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