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Advances in Object and Activity Detection in Remote Sensing Imagery

The recent revolution in deep learning has enabled considerable development in the fields of object and activity detection. Visual object detection tries to find objects of target classes with precise localisation in an image and assign each object instance a corresponding class label. At the same t...

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Format: Online
Sprog:engelsk
Udgivet: MDPI - Multidisciplinary Digital Publishing Institute 2022
Fag:
multi-camera system
space alignment
UAV-assisted calibration
cross-view matching
spatiotemporal feature map
view-invariant description
air-to-ground synchronization
tidal flat water
YOLOv3
similarity algorithm for water extraction
arbitrary-oriented object detection in satellite optical imagery
adaptive dynamic refined single-stage transformer detector
feature pyramid transformer
dynamic feature refinement
synthetic aperture radar (SAR)
ship detection
convolutional neural network (CNN)
deep learning (DL)
feature pyramid network (FPN)
quad feature pyramid network (Quad-FPN)
crowd estimation
3D simulation
unmanned aerial vehicle
synthetic crowd data
invasive species
thermal imaging
habitat identification
deep learning
drone
multiview semantic vegetation index
urban forestry
green view index (GVI)
semantic segmentation
urban vegetation
RGB vegetation index
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Online adgang:ONIX_20220621_9783036542294_134
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Lignende værker: Advances in Object and Activity Detection in Remote Sensing Imagery

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