Advances in Object and Activity Detection in Remote Sensing Imagery

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...

Full description

Bibliographic Details
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
History of engineering & technology
Technology: general issues
3D simulation
adaptive dynamic refined single-stage transformer detector
air-to-ground synchronization
arbitrary-oriented object detection in satellite optical imagery
convolutional neural network (CNN)
cross-view matching
crowd estimation
deep learning
deep learning (DL)
drone
dynamic feature refinement
feature pyramid network (FPN)
feature pyramid transformer
green view index (GVI)
habitat identification
invasive species
multi-camera system
multiview semantic vegetation index
n/a
quad feature pyramid network (Quad-FPN)
RGB vegetation index
semantic segmentation
ship detection
similarity algorithm for water extraction
space alignment
spatiotemporal feature map
synthetic aperture radar (SAR)
synthetic crowd data
thermal imaging
tidal flat water
UAV-assisted calibration
unmanned aerial vehicle
urban forestry
urban vegetation
view-invariant description
YOLOv3
Online Access:Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication

Internet

Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication

Similar Items