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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Izdano: MDPI - Multidisciplinary Digital Publishing Institute 2022
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collection Directory of Open Access Books
description 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 time, activity recognition aims to determine the actions or activities of an agent or group of agents based on sensor or video observation data. It is a very important and challenging problem to detect, identify, track, and understand the behaviour of objects through images and videos taken by various cameras. Together, objects and their activity recognition in imaging data captured by remote sensing platforms is a highly dynamic and challenging research topic. During the last decade, there has been significant growth in the number of publications in the field of object and activity recognition. In particular, many researchers have proposed application domains to identify objects and their specific behaviours from air and spaceborne imagery. This Special Issue includes papers that explore novel and challenging topics for object and activity detection in remote sensing images and videos acquired by diverse platforms.
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id doab-20.500.12854ir-84556
institution Directory of Open Access Books
language eng
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-845562024-04-09T23:15:58Z Advances in Object and Activity Detection in Remote Sensing Imagery Ulhaq, Anwaar Gomes, Douglas Pinto Sampaio 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 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 time, activity recognition aims to determine the actions or activities of an agent or group of agents based on sensor or video observation data. It is a very important and challenging problem to detect, identify, track, and understand the behaviour of objects through images and videos taken by various cameras. Together, objects and their activity recognition in imaging data captured by remote sensing platforms is a highly dynamic and challenging research topic. During the last decade, there has been significant growth in the number of publications in the field of object and activity recognition. In particular, many researchers have proposed application domains to identify objects and their specific behaviours from air and spaceborne imagery. This Special Issue includes papers that explore novel and challenging topics for object and activity detection in remote sensing images and videos acquired by diverse platforms. 2022-06-21T08:42:10Z 2022-06-21T08:42:10Z 2022 book ONIX_20220621_9783036542294_134 9783036542294 9783036542300 https://directory.doabooks.org/handle/20.500.12854/84556 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/5540 https://mdpi.com/books/pdfview/book/5540 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-4230-0 10.3390/books978-3-0365-4230-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036542294 9783036542300 170 Basel open access
spellingShingle 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
Advances in Object and Activity Detection in Remote Sensing Imagery
title Advances in Object and Activity Detection in Remote Sensing Imagery
title_full Advances in Object and Activity Detection in Remote Sensing Imagery
title_fullStr Advances in Object and Activity Detection in Remote Sensing Imagery
title_full_unstemmed Advances in Object and Activity Detection in Remote Sensing Imagery
title_short Advances in Object and Activity Detection in Remote Sensing Imagery
title_sort advances in object and activity detection in remote sensing imagery
topic 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
topic_facet 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
url ONIX_20220621_9783036542294_134