Results 41 to 50 of about 558,332 (197)
IEEE Access, 2023 Deep models’ feature learning capabilities have gained traction in recent years, driving significant progress in various Artificial Intelligence (AI) domains.
Syed M. Kazam Abbas Kazmi +4 more
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Multi-resolution dataset for photovoltaic panel segmentation from satellite and aerial imagery
Earth System Science Data, 2021 . In the context of global carbon emission reduction, solar photovoltaics (PV) is experiencing rapid development. Accurate localized PV information, including location and size, is the basis for PV regulation and potential assessment of energy sector ...
Hou Jiang +6 more
semanticscholar +1 more source
UAV-Rain1k: A Benchmark for Raindrop Removal from UAV Aerial Imagery [PDF]
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)Raindrops adhering to the lens of UAVs can obstruct visibility of the background scene and degrade image quality. Despite recent progress in image deraining methods and datasets, there is a lack of focus on raindrop removal from UAV aerial imagery due to
Wenhui Chang +4 more
semanticscholar +1 more source
MSL-Net: An Efficient Network for Building Extraction from Aerial Imagery
Remote Sensing, 2022 There remains several challenges that are encountered in the task of extracting buildings from aerial imagery using convolutional neural networks (CNNs).
Yue Qiu +5 more
semanticscholar +1 more source
Mapping Industrial Poultry Operations at Scale With Deep Learning and Aerial Imagery [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Concentrated animal feeding operations (CAFOs) pose serious risks to air, water, and public health, but have proven to be challenging to regulate. The U.S.
Caleb Robinson +4 more
semanticscholar +1 more source
CROCO: CROSS-MODAL CONTRASTIVE LEARNING FOR LOCALIZATION OF EARTH OBSERVATION DATA [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 It is of interest to localize a ground-based LiDAR point cloud on remote sensing imagery. In this work, we tackle a subtask of this problem, i.e. to map a digital elevation model (DEM) rasterized from aerial LiDAR point cloud on the aerial imagery.
W.-H. Tseng +4 more
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Scientific Data, 2023 Effectively supporting the United Nations’ Sustainable Development Goals requires reliable, substantial, and timely data. For solar panel installation monitoring, where accurate reporting is crucial in tracking green energy production and sustainable ...
Cecilia N. Clark, Fabio Pacifici
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Extension of an Open GEOBIA Framework for Spatially Explicit Forest Stratification with Sentinel-2
Remote Sensing, 2022 Spatially explicit information about forest cover is fundamental for operational forest management and forest monitoring. Although open-satellite-based earth observation data in a spatially high resolution (i.e., Sentinel-2, ≤10 m) can cover some ...
Melanie Brauchler +2 more
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Scientific Reports, 2023 Aerial image data are becoming more widely available, and analysis techniques based on supervised learning are advancing their use in a wide variety of remote sensing contexts.
John Francis +5 more
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TOWARDS FINE-GRAINED ROAD MAPS EXTRACTION USING SENTINEL-2 IMAGERY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Nowadays, it is highly important to keep road maps up-to-date since a great deal of services rely on them. However, to date, these labours have demanded a great deal of human attention due to their complexity.
C. Ayala, C. Aranda, M. Galar
doaj +1 more source