PV Segmenter: A frequency-guided edge-aware network for distributed photovoltaic segmentation in remote sensing imagery
发布时间：2025-09-01
点击次数：
- DOI码：
- 10.1016/j.apenergy.2025.126137
- 所属单位：
- Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan, Hubei, Peoples R China
- 发表刊物：
- APPLIED ENERGY
- 项目来源：
- This research is supported by the National Key Research and Development Program of China with grant
- 关键字：
- Distributed photovoltaic,High-resolution remote sensing imagery,Semantic segmentation,Deep learning
- 摘要：
- Accurate localization and sizing of distributed photovoltaic (PV) systems using remote sensing imagery are critical for assessing installed capacity and forecasting solar generation potential. However, existing PV extraction methods predominantly rely on spatial-domain learning strategies, which struggle to capture the complex boundaries and fine details of small-scale PV systems. In this paper, we propose PV Segmenter, a frequency-guided edge-aware network that employs frequency-domain learning to improve edge detection and pattern recognition in distributed PV systems. Specifically, a freque
- 合写作者：
- Hou, Dongyang,Cai, Bowen
- 第一作者：
- Wang, Siyuan
- 论文类型：
- 期刊论文
- 通讯作者：
- Shao, Zhenfeng
- 文献类型：
- Article
- 卷号：
- 393
- ISSN号：
- 0306-2619
- 是否译文：
- 否
- 发表时间：
- 2025-09-01