[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 …
Advances and prospects on estimating solar photovoltaic installation capacity and potential based on satellite and aerial images
Solar photovoltaic (PV) system, as one kind of the most promising renewable energy
technologies, plays a key role in reducing carbon emissions to achieve the targets of global …
technologies, plays a key role in reducing carbon emissions to achieve the targets of global …
Enhancing PV panel segmentation in remote sensing images with constraint refinement modules
Incorrect predictions or underestimation of a city's solar potential can result from neglecting
common features of photovoltaic (PV) panels from remote sensing images. This paper …
common features of photovoltaic (PV) panels from remote sensing images. This paper …
Remote sensing for monitoring photovoltaic solar plants in Brazil using deep semantic segmentation
MVCV Costa, OLF Carvalho, AG Orlandi, I Hirata… - Energies, 2021 - mdpi.com
Brazil is a tropical country with continental dimensions and abundant solar resources that
are still underutilized. However, solar energy is one of the most promising renewable …
are still underutilized. However, solar energy is one of the most promising renewable …
Texture is important in improving the accuracy of map** photovoltaic power plants: A case study of Ningxia Autonomous Region, China
Photovoltaic (PV) technology is becoming more popular due to climate change because it
allows for replacing fossil-fuel power generation to reduce greenhouse gas emissions …
allows for replacing fossil-fuel power generation to reduce greenhouse gas emissions …
Solar park detection from publicly available satellite imagery
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 …
[HTML][HTML] Detection of solar photovoltaic power plants using satellite and airborne hyperspectral imaging
Solar photovoltaic panels (PV) provide great potential to reduce greenhouse gas emissions
as a renewable energy technology. The number of solar PV has increased significantly in …
as a renewable energy technology. The number of solar PV has increased significantly in …
Extraction of photovoltaic plants using machine learning methods: a case study of the pilot energy city of Golmud, China
Solar energy is an abundant, clean, and renewable source that can mitigate global climate
change, environmental pollution, and energy shortage. However, comprehensive datasets …
change, environmental pollution, and energy shortage. However, comprehensive datasets …
Going deeper with densely connected convolutional neural networks for multispectral pansharpening
D Wang, Y Li, L Ma, Z Bai, JCW Chan - Remote Sensing, 2019 - mdpi.com
In recent years, convolutional neural networks (CNNs) have shown promising performance
in the field of multispectral (MS) and panchromatic (PAN) image fusion (MS pansharpening) …
in the field of multispectral (MS) and panchromatic (PAN) image fusion (MS pansharpening) …
Hyperspectral and multispectral image fusion with automated extraction of image-based endmember bundles and sparsity-based unmixing to deal with spectral …
The aim of fusing hyperspectral and multispectral images is to overcome the limitation of
remote sensing hyperspectral sensors by improving their spatial resolutions. This process …
remote sensing hyperspectral sensors by improving their spatial resolutions. This process …