[HTML][HTML] Mapping of decentralised photovoltaic and solar thermal systems by remote sensing aerial imagery and deep machine learning for statistic generation
J Lindahl, R Johansson, D Lingfors - Energy and AI, 2023 - Elsevier
As a mean to monitor the rapid expansion of the highly decentralized PV market, identifying
solar energy systems in aerial imagery by deep machine learning, is a research field that is …
solar energy systems in aerial imagery by deep machine learning, is a research field that is …
Solar park detection from publicly available satellite imagery
V Plakman, J Rosier, J van Vliet - GIScience & Remote Sensing, 2022 - Taylor & Francis
The rapid increase in large-scale photovoltaic installations, or solar parks, causes a need to
monitor their amount and allocation, and assess their impacts. While their spectral signature …
monitor their amount and allocation, and assess their impacts. While their spectral signature …
Ultrasonic tomography imaging enhancement approach based on deep convolutional neural networks
AK Malikov, MF Flores Cuenca, B Kim, Y Cho… - Journal of …, 2023 - Springer
The containment liner plate (CLP) is a thin layer of carbon steel material applied as a base
for concrete structures protecting nuclear material. The structural health monitoring of the …
for concrete structures protecting nuclear material. The structural health monitoring of the …
Global Adaptive Second-Order Transformer for Remote Sensing Image Semantic Segmentation
Y Zhang, J Cheng, Y Su, C Deng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the domain of remote sensing (RS) image analysis, capturing global context is the key for
precise semantic segmentation. Current vision transformer (ViT) advance this field by …
precise semantic segmentation. Current vision transformer (ViT) advance this field by …
Combining OBIA approach and machine learning algorithm to extract photovoltaic panels from Sentinel-2 images automatically
The Energy Union Framework Strategy is pushing the entire world to move from fossil fuels
to renewable energy to tackle climate changes and mitigate their effects. Among the clean …
to renewable energy to tackle climate changes and mitigate their effects. Among the clean …
Automated rooftop solar panel detection through Convolutional Neural Networks
S Pena Pereira, A Rafiee… - Canadian Journal of …, 2024 - Taylor & Francis
Transforming the global energy sector from fossil-fuel based to renewable energy sources is
crucial to limiting global warming and achieving climate neutrality. The decentralized nature …
crucial to limiting global warming and achieving climate neutrality. The decentralized nature …
[PDF][PDF] Automated Rooftop Solar Panel Detection Through Convolutional Neural Networks Détection automatisée de panneaux solaires sur toiture par réseaux …
SP Pereiraa, A Rafieea, S Lhermitteb - Canadian Journal of remote …, 2024 - gdmc.nl
Transforming the global energy sector from fossil-fuel based to renewable energy sources is
crucial to limiting global warming and achieving climate neutrality. The decentralized nature …
crucial to limiting global warming and achieving climate neutrality. The decentralized nature …
Extracting 10-m Resolution Photovoltaic Landcover Using A Slightly Modified U-Net and Sentinel-2 Images
Y Xu, L Lu - 2023 11th International Conference on Agro …, 2023 - ieeexplore.ieee.org
Centralized photovoltaic (PV) power plants, as the main form of solar energy utilization, has
been world-widely constructing in recent two decades, which makes photovoltaic landcover …
been world-widely constructing in recent two decades, which makes photovoltaic landcover …
Further development and optimisation of the CNN-classicification algorithm of Alfrödull for more accurate aerial image detection of decentralised solar energy systems …
E Lindvall - 2024 - diva-portal.org
The global use of solar power is growing at an unprecedented rate, making the need to
accurately track the energy generation of decentralised solar energy systems (SES) more …
accurately track the energy generation of decentralised solar energy systems (SES) more …