Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directions

Change detection is a vibrant area of research in remote sensing. Thanks to increases in the spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can now be effectively detected. However, change detection from very-high-spatial-resolution (VHR) (≤5 m) remote sensi...

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Published in:IEEE geoscience and remote sensing magazine Vol. 9; no. 4; pp. 68 - 101
Main Authors: Wen, Dawei, Huang, Xin, Bovolo, Francesca, Li, Jiayi, Ke, Xinli, Zhang, Anlu, Benediktsson, Jon Atli
Format: Journal Article
Language:English
Published: IEEE 01.12.2021
Subjects:
Detection algorithms
Feature extraction
Image resolution
Image sensors
Remote sensing
Satellites
Sensors
Spatial resolution
ISSN:2473-2397, 2168-6831
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Abstract Change detection is a vibrant area of research in remote sensing. Thanks to increases in the spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can now be effectively detected. However, change detection from very-high-spatial-resolution (VHR) (≤5 m) remote sensing images is challenging due to limited spectral information, spectral variability, geometric distortion, and information loss. To address these challenges, many change detection algorithms have been developed. However, a comprehensive review of change detection in VHR images is lacking in the existing literature. This review aims to fill the gap and mainly includes three aspects: methods, applications, and future directions.
AbstractList Change detection is a vibrant area of research in remote sensing. Thanks to increases in the spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can now be effectively detected. However, change detection from very-high-spatial-resolution (VHR) (≤5 m) remote sensing images is challenging due to limited spectral information, spectral variability, geometric distortion, and information loss. To address these challenges, many change detection algorithms have been developed. However, a comprehensive review of change detection in VHR images is lacking in the existing literature. This review aims to fill the gap and mainly includes three aspects: methods, applications, and future directions.
Author Huang, Xin
Zhang, Anlu
Wen, Dawei
Ke, Xinli
Benediktsson, Jon Atli
Bovolo, Francesca
Li, Jiayi
Author_xml – sequence: 1
  givenname: Dawei
  surname: Wen
  fullname: Wen, Dawei
  email: daweiwen@mail.hzau.edu.cn
  organization: College of Public Administration, Huazhong Agricultural University, Wuhan, China
– sequence: 2
  givenname: Xin
  surname: Huang
  fullname: Huang, Xin
  email: xhuang@whu.edu.cn
  organization: Luojia Distinguished Professor, Wuhan University, Wuhan, China
– sequence: 3
  givenname: Francesca
  surname: Bovolo
  fullname: Bovolo, Francesca
  email: bovolo@fbk.eu
  organization: Remote Sensing for Digital Earth unit, Fondazione Bruno Kessler, Trento, Italy
– sequence: 4
  givenname: Jiayi
  surname: Li
  fullname: Li, Jiayi
  email: zjjerica@whu.edu.cn
  organization: School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
– sequence: 5
  givenname: Xinli
  surname: Ke
  fullname: Ke, Xinli
  email: kexl@mail.hzau.edu.cn
  organization: College of Public Administration, Huazhong Agricultural University, Wuhan, China
– sequence: 6
  givenname: Anlu
  surname: Zhang
  fullname: Zhang, Anlu
  email: zhanganlu@mail.hzau.edu.cn
  organization: Professor, Huazhong Agricultural University, Wuhan, China
– sequence: 7
  givenname: Jon Atli
  surname: Benediktsson
  fullname: Benediktsson, Jon Atli
  email: benedikt@hi.is
  organization: Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland
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Snippet Change detection is a vibrant area of research in remote sensing. Thanks to increases in the spatial resolution of remote sensing images, subtle changes at a...
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StartPage 68
SubjectTerms Detection algorithms
Feature extraction
Image resolution
Image sensors
Remote sensing
Satellites
Sensors
Spatial resolution
Title Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directions
URI https://ieeexplore.ieee.org/document/9395350
Volume 9
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