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[HTML][HTML] Emerging information and communication technologies for smart energy systems and renewable transition
Since the energy sector is the dominant contributor to global greenhouse gas emissions, the
decarbonization of energy systems is crucial for climate change mitigation. Two major …
decarbonization of energy systems is crucial for climate change mitigation. Two major …
[HTML][HTML] GeoAI for detection of solar photovoltaic installations in the Netherlands
BB Kausika, D Nijmeijer, I Reimerink, P Brouwer… - Energy and AI, 2021 - Elsevier
National map** agencies are responsible for creating and maintaining country wide
geospatial datasets that are highly accurate and homogenous. The Netherlands' Cadastre …
geospatial datasets that are highly accurate and homogenous. The Netherlands' Cadastre …
[HTML][HTML] Partial linear NMF-based unmixing methods for detection and area estimation of photovoltaic panels in urban hyperspectral remote sensing data
High-spectral-resolution hyperspectral data are acquired by sensors that gather images from
hundreds of narrow and contiguous bands of the electromagnetic spectrum. These data offer …
hundreds of narrow and contiguous bands of the electromagnetic spectrum. These data offer …
Detecting faulty solar panels based on thermal image processing
Recently, the solar power generation has attracted much attention and market is growing.
Although it is more common than in the past, there is not enough specialist for maintenance …
Although it is more common than in the past, there is not enough specialist for maintenance …
[HTML][HTML] Automatic boundary extraction for photovoltaic plants using the deep learning U-net model
Nowadays, the world is in a transition towards renewable energy solar being one of the most
promising sources used today. However, Solar Photovoltaic (PV) systems present great …
promising sources used today. However, Solar Photovoltaic (PV) systems present great …
Automated rooftop solar panel detection through Convolutional Neural Networks
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] Comparing boosted cascades to deep learning architectures for fast and robust coconut tree detection in aerial images
Object detection using a boosted cascade of weak classifiers is a principle that has been
used in a variety of applications, ranging from pedestrian detection to fruit counting in …
used in a variety of applications, ranging from pedestrian detection to fruit counting in …
Detection and area estimation for photovoltaic panels in urban hyperspectral remote sensing data by an original NMF-based unmixing method
Hyperspectral remote sensing data offer unique opportunities for the characterization of land
surface in urban areas. However, no hyperspectral-unmixing based studies have been …
surface in urban areas. However, no hyperspectral-unmixing based studies have been …
Software for roof defects recognition on aerial photographs
The article presents information on software for roof defects recognition on aerial
photographs, made with air drones. An areal image segmentation mechanism is described …
photographs, made with air drones. An areal image segmentation mechanism is described …
Monitoring spatial sustainable development: semi-automated analysis of satellite and aerial images for energy transition and sustainability indicators
This report presents the results of the DeepSolaris project that was carried out under the
ESS action'Merging Geostatistics and Geospatial Information in Member States'. During the …
ESS action'Merging Geostatistics and Geospatial Information in Member States'. During the …