Remote sensing image registration using multiple image features

10.3390/rs9060581

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Bibliographic Details
Main Authors: Yang, K, Pan, A, Yang, Y, Zhang, S, Ong, S.H, Tang, H
Other Authors: DEPT OF ELECTRICAL & COMPUTER ENGG
Format: Article
Published: 2020
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/178670
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1786702023-09-07T09:21:51Z Remote sensing image registration using multiple image features Yang, K Pan, A Yang, Y Zhang, S Ong, S.H Tang, H DEPT OF ELECTRICAL & COMPUTER ENGG Damage detection Disasters Geometry Image reconstruction Image registration Mathematical transformations Mixtures Remote sensing Space optics Unmanned aerial vehicles (UAV) Different viewpoint Finite mixture modeling Intensity information Multiple image features Non-rigid Non-rigid transformation Remote sensing images Scale invariant feature transforms Military photography 10.3390/rs9060581 Remote Sensing 9 6 581 2020-10-21T07:50:56Z 2020-10-21T07:50:56Z 2017 Article Yang, K, Pan, A, Yang, Y, Zhang, S, Ong, S.H, Tang, H (2017). Remote sensing image registration using multiple image features. Remote Sensing 9 (6) : 581. ScholarBank@NUS Repository. https://doi.org/10.3390/rs9060581 20724292 https://scholarbank.nus.edu.sg/handle/10635/178670 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Damage detection
Disasters
Geometry
Image reconstruction
Image registration
Mathematical transformations
Mixtures
Remote sensing
Space optics
Unmanned aerial vehicles (UAV)
Different viewpoint
Finite mixture modeling
Intensity information
Multiple image features
Non-rigid
Non-rigid transformation
Remote sensing images
Scale invariant feature transforms
Military photography
spellingShingle Damage detection
Disasters
Geometry
Image reconstruction
Image registration
Mathematical transformations
Mixtures
Remote sensing
Space optics
Unmanned aerial vehicles (UAV)
Different viewpoint
Finite mixture modeling
Intensity information
Multiple image features
Non-rigid
Non-rigid transformation
Remote sensing images
Scale invariant feature transforms
Military photography
Yang, K
Pan, A
Yang, Y
Zhang, S
Ong, S.H
Tang, H
Remote sensing image registration using multiple image features
description 10.3390/rs9060581
author2 DEPT OF ELECTRICAL & COMPUTER ENGG
author_facet DEPT OF ELECTRICAL & COMPUTER ENGG
Yang, K
Pan, A
Yang, Y
Zhang, S
Ong, S.H
Tang, H
format Article
author Yang, K
Pan, A
Yang, Y
Zhang, S
Ong, S.H
Tang, H
author_sort Yang, K
title Remote sensing image registration using multiple image features
title_short Remote sensing image registration using multiple image features
title_full Remote sensing image registration using multiple image features
title_fullStr Remote sensing image registration using multiple image features
title_full_unstemmed Remote sensing image registration using multiple image features
title_sort remote sensing image registration using multiple image features
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/178670
_version_ 1779152346695073792