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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Veröffentlicht in:IEEE geoscience and remote sensing magazine Jg. 9; H. 4; S. 68 - 101
Hauptverfasser: Wen, Dawei, Huang, Xin, Bovolo, Francesca, Li, Jiayi, Ke, Xinli, Zhang, Anlu, Benediktsson, Jon Atli
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 01.12.2021
Schlagworte:
Detection algorithms
Feature extraction
Image resolution
Image sensors
Remote sensing
Satellites
Sensors
Spatial resolution
ISSN:2473-2397, 2168-6831
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Zusammenfassung: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.
ISSN:2473-2397
2168-6831
DOI:10.1109/MGRS.2021.3063465