Results 31 to 40 of about 558,332 (197)
PERFORMANCE ASSESSMENT OF OBJECT DETECTION FROM MULTI SATELLITES AND AERIAL IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Object detection in remote sensing imagery plays an important role in many applications, such as tracking and change detection. With the development of deep learning algorithms and advancement in hardware systems, improved accuracies have been achieved ...
M. Ahmed +5 more
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Aerial Insights: Deep Learning-Based Human Action Recognition in Drone Imagery
IEEE Access, 2023 Human action recognition is critical because it allows machines to comprehend and interpret human behavior, which has several real-world applications such as video surveillance, robot-human collaboration, sports analysis, and entertainment.
Usman Azmat +6 more
semanticscholar +1 more source
Remote Sensing, 2020 A longer temporal scale of Antarctic observations is vital to better understanding glacier dynamics and improving ice sheet model projections. One underutilized data source that expands the temporal scale is aerial photography, specifically imagery ...
Sarah F. Child +3 more
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DEEP CROSS-DOMAIN BUILDING EXTRACTION FOR SELECTIVE DEPTH ESTIMATION FROM OBLIQUE AERIAL IMAGERY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 With the technological advancements of aerial imagery and accurate 3d reconstruction of urban environments, more and more attention has been paid to the automated analyses of urban areas.
B. Ruf, B. Ruf, L. Thiel, M. Weinmann
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Feasibility of Drone Imagery for Monitoring Performance of a Modified Drill in a Conservation Farming System [PDF]
Journal of Agricultural Machinery, 2020 In this paper, performance of a no-till corn planter in a soil covered with previous wheat residue was evaluated. Three levels of crop residue cover (CRC): 30, 45 and 60%, two planting schemes; on-bed and in-furrow and two forward speed: (4 and 8 km h-1)
Z Kavoosi, M. H Raoufat
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Mapping and characterizing selected canopy tree species at the Angkor World Heritage site in Cambodia using aerial data. [PDF]
PLoS ONE, 2015 At present, there is very limited information on the ecology, distribution, and structure of Cambodia's tree species to warrant suitable conservation measures.
Minerva Singh +3 more
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Remote Sensing, 2022 In recent years, more and more researchers have used deep learning methods for super-resolution reconstruction and have made good progress. However, most of the existing super-resolution reconstruction models generate low-resolution images for training ...
Mingqiang Guo +3 more
semanticscholar +1 more source
Sustainability, 2021 Floods have been a major cause of destruction, instigating fatalities and massive damage to the infrastructure and overall economy of the affected country.
Hafiz Suliman Munawar +4 more
semanticscholar +1 more source
A Comprehensive Review of Small Object Detection of Low-Altitude Aerial Imagery Based on Deep Learning [PDF]
Hangkong bingqiSmall object detection of low-altitude aerial imagery remains a highly challenging task in computer vision. Although significant progress has been made in object detection algorithms for conventional perspectives, the transfer performance of these ...
Zhang Jinhang, Gao Min, Fang Dan, Li Chaowang, Wang Yi, Xu KuiKui
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Remote Sensing, 2020 Forest species classifications are becoming increasingly automated as advances are made in machine learning. Complex algorithms can reach high accuracies, but are not always suitable for small-scale classifications, which may benefit from simpler ...
Audrey P. Riddell +3 more
doaj +1 more source