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Gender:
MaleContact Information:
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
Uncovering the location of photovoltaic power plants using heterogeneous remote sensing imagery
- Time:2025-09-01
- Hits:
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DOI number:
10.1016/j.egyai.2025.100527 -
Affiliation of Author(s):
Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan, Hubei, Peoples R China -
Journal:
ENERGY AND AI -
Funded by:
This research is supported by the National Key Research and Development Program of China (2023YFB390 -
Key Words:
Photovoltaic,Remote sensing,Deep learning,Multimodal fusion,Hubei province -
Abstract:
Accurate monitoring of photovoltaic (PV) spatial distribution using remote sensing imagery is critical for understanding energy production dynamics. The integration of spatial and spectral features facilitates precise identification of diverse PV installation scenarios. However, existing methods primarily depend on single-source multispectral or high-resolution imagery, limiting their ability to balance spatial detail and spectral richness. To address this, this paper proposes a spatial-spectral differential semantic fusion network named FusionPV to comprehensively map PV locations within comp -
Co-author:
Qiance,Liu, Dongyang,Hou, Bowen,Cai, Jinyang,Wang, Xiaoyu,Zheng -
Indexed by:
Journal paper -
Correspondence Author:
Zhenfeng,Shao -
Document Type:
Article -
Volume:
21 -
ISSN No.:
2666-5468 -
Translation or Not:
no -
Date of Publication:
2025-09-01