GLMF-Net: A Granular-level and Layer-level Multi-scale Fusion Network for Change Detection | |
Li, Wenyao1; He, Renjie1; Dai, Yuchao1; Zhang, Pengchang2; He, Mingyi1 | |
2023 | |
会议名称 | 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023 |
会议录名称 | Proceedings of the 18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023 |
页码 | 483-488 |
会议日期 | 2023-08-18 |
会议地点 | 99 Min An Dong Lu, Yinzhou District, Zhejiang Province, Ningbo, China |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
产权排序 | 2 |
摘要 | Change detection (CD) is a crucial task in remote sensing (RS) image analysis. In recent years, the development of deep learning has led to significant progress in this field. However, current deep learning-based methods struggle to achieve accurate change detection in complex scenes, often resulting in false detections and loss of details of change objects. In this paper, we propose a novel granular-level and layer-level multi-scale fusion network (GLMF-Net) to overcome these problems. The GLMF-Net consists of two key modules: the granular-level multi-scale fusion (GMF) module and the layer-level multi-scale fusion (LMF) module. The GMF module locates potential change objects by capturing granular-level change features, while the LMF module excavates the details of change objects in shallow features. To achieve inter-layer feature fusion, we also develop a group-wise guidance operation in the LMF module. Extensive experimental results demonstrate that our GLMF-Net significantly improves the accuracy of change detection in complex scenes, and achieves the state-of-the-art performance on the widely used CDD and LEVIR-CD datasets in terms of five standard metrics. © 2023 IEEE. |
关键词 | Change detection multi-scale fusion remote sensing images |
作者部门 | 光谱成像技术研究室 |
DOI | 10.1109/ICIEA58696.2023.10241769 |
收录类别 | EI |
ISBN号 | 9798350312201 |
语种 | 英语 |
EI入藏号 | 20234114875712 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/96837 |
专题 | 光谱成像技术研究室 |
通讯作者 | He, Renjie |
作者单位 | 1.Northwestern Polytechnical University, Xi'an; 710072, China; 2.Xi'an Institute of Optics and Precision Mechanics of Cas, Xi'an; 710119, China |
推荐引用方式 GB/T 7714 | Li, Wenyao,He, Renjie,Dai, Yuchao,et al. GLMF-Net: A Granular-level and Layer-level Multi-scale Fusion Network for Change Detection[C]:Institute of Electrical and Electronics Engineers Inc.,2023:483-488. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
GLMF-Net A Granular-(3748KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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