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15827188114Status:
EmployedSchool/Department:
测绘遥感信息工程全国重点实验室Date of Birth:
1976-03-21Alma Mater:
武汉大学Status:
EmployedSchool/Department:
测绘遥感信息工程全国重点实验室Date of Employment:
2004-07-01Administrative Position:
副主任Business Address:
武汉大学星湖实验大楼713Contact Information:
15827188114
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Paper Publications
Current position: Home > Scientific Research > Paper Publications
PV Segmenter: A frequency-guided edge-aware network for distributed photovoltaic segmentation in remote sensing imagery
- Time:2025-09-01
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DOI number:
10.1016/j.apenergy.2025.126137 -
Affiliation of Author(s):
Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan, Hubei, Peoples R China -
Journal:
APPLIED ENERGY -
Funded by:
This research is supported by the National Key Research and Development Program of China with grant -
Key Words:
Distributed photovoltaic,High-resolution remote sensing imagery,Semantic segmentation,Deep learning -
Abstract:
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 -
Co-author:
Dongyang,Hou, Bowen,Cai -
Indexed by:
Journal paper -
Correspondence Author:
Zhenfeng,Shao -
Document Type:
Article -
Volume:
393 -
ISSN No.:
0306-2619 -
Translation or Not:
no -
Date of Publication:
2025-09-01