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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE geoscience and remote sensing magazine Ročník 9; číslo 4; s. 68 - 101
Hlavní autoři: Wen, Dawei, Huang, Xin, Bovolo, Francesca, Li, Jiayi, Ke, Xinli, Zhang, Anlu, Benediktsson, Jon Atli
Médium: Journal Article
Jazyk:angličtina
Vydáno: IEEE 01.12.2021
Témata:
Detection algorithms
Feature extraction
Image resolution
Image sensors
Remote sensing
Satellites
Sensors
Spatial resolution
ISSN:2473-2397, 2168-6831
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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