85 citations as recorded by crossref.

1. Enhancing PV panel segmentation in remote sensing images with constraint refinement modules H. Tan et al.
2. Mapping the Spatial Distribution of Photovoltaic Power Plants in Northwest China Using Remote Sensing and Machine Learning X. Shi et al.
3. Deep Learning Framework for Multiclass Segmentation of Photovoltaic Systems S. Krikau & S. Keller
4. TerraSegNet: Bilateral Axial Attention Network for Remote Sensing Image Segmentation in Diverse Environmental Monitoring Applications B. Setyawan Wijaya et al.
5. High-resolution solar panel detection in Sfax, Tunisia: A UNet-Based approach M. Bouaziz et al.
6. SPHERE: Benchmarking YOLO vs. CNN on a Novel Dataset for High-Accuracy Solar Panel Defect Detection in Renewable Energy Systems K. Ayturan et al.
7. DBSF: dual-branch boundary-supplemented framework for photovoltaic power station extraction B. Yu et al.
8. GIScience can facilitate the development of solar cities for energy transition R. Zhu et al.
9. Optimizing PV Panel Segmentation in Complex Environments Using Pre-Training and Simulated Annealing Algorithm: The JSWPVI R. Zhang et al.
10. CSPPNet: A Convolution and State-Space-Based Photovoltaic Panel Extraction Network Using Gaofen-2 High-Resolution Imagery W. Liu et al.
11. Detailed PV Monitor: A Highly Generalized Photovoltaic Panels Segmentation Network Integrating Context-Aware and Deep Feature Reconstruction X. Zhang et al.
12. Assessment of the large-scale extraction of photovoltaic (PV) panels with a workflow based on artificial neural networks and algorithmic postprocessing of vectorization results M. Manso-Callejo et al.
13. Enhancing visual feature constraints in segmentation models for photovoltaic panel recognition Z. Zhao et al.
14. Combined Hybrid Neural Networks and Swarm Intelligence Optimization Algorithms for Photovoltaic Panel Segmentation From Remote Sensing Images X. Zhang et al.
15. Joint-task learning framework with scale adaptive and position guidance modules for improved household rooftop photovoltaic segmentation in remote sensing image L. Li et al.
16. High-Fidelity Remote Sensing-Based Solar Panel Mapping Using a Parameter-Efficient UNet With Dilated Multi-Scale Convolutions and Lightweight Attention K. Nazir et al.
17. Deep learning for photovoltaic panels segmentation K. Bouzaachane et al.
18. Data-Model Complexity Trade-Off in UAV-Acquired Ultra-High-Resolution Remote Sensing: Empirical Study on Photovoltaic Panel Segmentation Z. Zou et al.
19. PYS: A classification and extraction model of photovoltaics for providing more detailed data to support photovoltaic sustainable development D. Chen et al.
20. Characterization and mapping of photovoltaic solar power plants by Landsat imagery and random forest: A case study in Gansu Province, China X. Wang et al.
21. Labeled photovoltaic installations for orthographic aerial imagery in Queens, New York T. Furedi et al.
22. A Downscaling Methodology for Extracting Photovoltaic Plants with Remote Sensing Data: From Feature Optimized Random Forest to Improved HRNet Y. Wang et al.
23. Spatial and Temporal Expansion of Photovoltaic Sites and Thermal Environmental Effects in Ningxia Based on Remote Sensing and Deep Learning H. Xie et al.
24. Remote-sensing extraction and carbon emission reduction benefit assessment for centralized photovoltaic power plants in Agrivoltaic systems C. Huang et al.
25. Deformable Transformer and Spectral U-Net for Large-Scale Hyperspectral Image Semantic Segmentation T. Zhang et al.
26. Mapping of Utility-Scale Solar Panel Areas From 2000 to 2022 in China Using Google Earth Engine X. Lyu et al.
27. High-resolution analysis of rooftop photovoltaic potential based on hourly generation simulations and load profiles H. Jiang et al.
28. Exploration of determinants underlying regional disparity in rooftop photovoltaic adoption: A case study in Nagoya, Japan L. Tao et al.
29. Comparative Performance Evaluation of YOLOv5, YOLOv8, and YOLOv11 for Solar Panel Defect Detection R. Khanam et al.
30. Unraveling the effects of lake-surface environment on floating photovoltaic electricity generation in Southeast Asia D. Hu et al.
31. A Bottom-Up Approach Integrating Computer Vision with Material Flow Analysis to Estimate the Recycling Potential of Distributed Solar Panels Using Satellite Imagery P. Jiang et al.
32. Synthesizing images with aligned masks using text-to-image based generative AI for robust PV segmentation H. Tan et al.
33. Deep Learning-Based Health Monitoring for Photovoltaic Systems K. Alnuaimi et al.
34. Comparative Performance of Machine Learning Classifiers for Photovoltaic Mapping in Arid Regions Using Google Earth Engine L. Zhang et al.
35. Deep solar PV refiner: A detail-oriented deep learning network for refined segmentation of photovoltaic areas from satellite imagery R. Zhu et al.
36. An Information Extraction Method for Industrial and Commercial Rooftop Photovoltaics Based on GaoFen-7 Remote Sensing Images H. Tao et al.
37. Fine-Grained Hashing for High Spatial Resolution Optical-SAR Remote Sensing Image Retrieval G. Lingyun et al.
38. Impact of Synthetic Data on Deep Learning Models for Earth Observation: Photovoltaic Panel Detection Case Study E. Hisam et al.
39. Globally interconnected solar-wind system addresses future electricity demands H. Jiang et al.
40. Classification and segmentation of five photovoltaic types based on instance segmentation for generating more refined photovoltaic data D. Chen et al.
41. Extracting Photovoltaic Panels From Heterogeneous Remote Sensing Images With Spatial and Spectral Differences Z. Zhao et al.
42. Detailed Aerial Mapping of Photovoltaic Power Plants Through Semantically Significant Keypoints V. Kozák et al.
43. A Novel Framework for Solar Panel Segmentation From Remote Sensing Images: Utilizing Chebyshev Transformer and Hyperspectral Decomposition H. Gasparyan et al.
44. Artificial Vision in Renewable Photovoltaic Systems: A Review and Vision of Specific Applications and Technologies T. Amaral et al.
45. A CLIP-Based Zero-Shot Photovoltaic Segmentation Framework for Remote Sensing Imagery H. Li et al.
46. Generalized deep learning model for photovoltaic module segmentation from satellite and aerial imagery G. García et al.
47. A harmonized dataset of ground-mounted solar energy in the US with enhanced metadata J. Stid et al.
48. Extraction of Photovoltaic Plants Using Machine Learning Methods: A Case Study of the Pilot Energy City of Golmud, China Z. Chen et al.
49. PV Identifier: Extraction of small-scale distributed photovoltaics in complex environments from high spatial resolution remote sensing images N. Lu et al.
50. The Use of Drone Photo Material to Classify the Purity of Photovoltaic Panels Based on Statistical Classifiers T. Czarnecki & K. Bloch
51. Deep-Learning-Based Evaluation of Rooftop Photovoltaic Deployment in Tianjin, China M. Shan et al.
52. Advances and prospects on estimating solar photovoltaic installation capacity and potential based on satellite and aerial images H. Mao et al.
53. Automatic Rooftop Solar Panel Recognition from UAV LiDAR Data Using Deep Learning and Geometric Feature Analysis J. Coglan et al.
54. Application of photovoltaics on different types of land in China: Opportunities, status and challenges C. Song et al.
55. GeoAI-Driven mapping of urban rooftop Photovoltaics: A sustainable energy framework for Karachi, Pakistan M. Lodhi et al.
56. Impact of Deep Convolutional Neural Network Structure on Photovoltaic Array Extraction from High Spatial Resolution Remote Sensing Images L. Li et al.
57. Edge-enhanced SAM for extracting photovoltaic power plants from remote sensing imagery Y. Chen et al.
58. SPFNet2: A lightweight solar panel fault detection framework using parallel U-Net and MobileNetV3Large R. Rudro et al.
59. Spectral-Feature-Driven photovoltaic Detection: A universal Physics-Based index for rapid Localization S. He et al.
60. Multi-Resolution Segmentation of Solar Photovoltaic Systems Using Deep Learning M. Kleebauer et al.
61. Mapping national-scale photovoltaic power stations using a novel enhanced photovoltaic index and evaluating carbon reduction benefits J. Wang et al.
62. A deep learning based framework for solar panel segmentation and fault classification enhanced with explainable AI A. Adib et al.
63. Comprehensive analysis of tropical rooftop PV project: A case study in nanning X. Wang et al.
64. PVNet: A novel semantic segmentation model for extracting high-quality photovoltaic panels in large-scale systems from high-resolution remote sensing imagery J. Wang et al.
65. Toward global rooftop PV detection with Deep Active Learning M. Zech et al.
66. Rooftop PV Segmenter: A Size-Aware Network for Segmenting Rooftop Photovoltaic Systems from High-Resolution Imagery J. Wang et al.
67. Query Adaptive Transformer and Multiprototype Rectification for Few-Shot Remote Sensing Image Segmentation T. Gao et al.
68. Data Augmentation with Generative Adversarial Network for Solar Panel Segmentation from Remote Sensing Images J. Lekavičius & V. Gružauskas
69. Geospatial assessment of rooftop solar photovoltaic potential using multi-source remote sensing data H. Jiang et al.
70. Automated Rooftop Solar Panel Detection Through Convolutional Neural Networks S. Pena Pereira et al.
71. FEPVNet: A Network with Adaptive Strategies for Cross-Scale Mapping of Photovoltaic Panels from Multi-Source Images B. Su et al.
72. A solar panel dataset of very high resolution satellite imagery to support the Sustainable Development Goals C. Clark & F. Pacifici
73. A Lightweight Self Attention Based Multi-Task Deep Learning Model for Industrial Solar Panel and Environmental Monitoring T. Gangopadhyay et al.
74. Assessment of offshore wind-solar energy potentials and spatial layout optimization in mainland China H. Jiang et al.
75. The spatiotemporal patterns of national-subsidized PV power projects in China: Evolution and influencing factors C. Xiao et al.
76. Mapping Photovoltaic Panels in Coastal China Using Sentinel-1 and Sentinel-2 Images and Google Earth Engine H. Zhang et al.
77. Remote sensing of photovoltaic scenarios: Techniques, applications and future directions Q. Chen et al.
78. Multi-sourced data modelling of spatially heterogenous life-cycle carbon mitigation from installed rooftop photovoltaics: A case study in Singapore R. Zhu et al.
79. Detecting Photovoltaic Panels in Aerial Images by Means of Characterising Colours D. Marletta et al.
80. Uncovering the rapid expansion of photovoltaic power plants in China from 2010 to 2022 using satellite data and deep learning Y. Chen et al.
81. Vectorization Method for Remote Sensing Object Segmentation Based on Frame Field Learning: A Case Study of Greenhouses L. Yao et al.
82. DSFA-SwinNet: A Multi-Scale Attention Fusion Network for Photovoltaic Areas Detection S. Lin et al.
83. Optimization Method for Remote Sensing Image-Based Photovoltaic Panel Segmentation via Perception-Driven Enhancement in Nonideal Environments X. Chao et al.
84. General generative AI-based image augmentation method for robust rooftop PV segmentation H. Tan et al.
85. ESG reporting in the insurance industry: assessing the quantity, quality and utility of the reported KPIs A. Marti et al.