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

被引：160

作者：

Wen, Dawei ^{[1
]}

Huang, Xin ^{[2
,3
]}

Bovolo, Francesca ^{[4
,5
]}

Li, Jiayi ^{[6
]}

Ke, Xinli ^{[1
]}

Zhang, Anlu ^{[7
]}

Benediktsson, Jon Atli ^{[8
,9
]}

机构：

[1] Huazhong Agr Univ, Coll Publ Adm, Wuhan 430070, Peoples R China

[2] Wuhan Univ, Wuhan 430079, Peoples R China

[3] Wuhan Univ, Sch Remote Sensing & Informat Engn, Inst Remote Sensing Informat Proc, Wuhan, Peoples R China

[4] Fdn Bruno Kessler, Remote Sensing Digital Earth Unit, I-38123 Trento, Italy

[5] Remote Sensing Lab, Trento, Italy

[6] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China

[7] Huazhong Agr Univ, Wuhan 430070, Peoples R China

[8] Univ Iceland, Fac Elect & Comp Engn, Reykjavik, Iceland

[9] Univ Iceland, Elect & Comp Engn, Reykjavik, Iceland

来源：

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE | 2021年 / 9卷 / 04期

关键词：

Feature extraction; Sensors; Remote sensing; Buildings; Image sensors; Satellites; Clouds; BUILDING CHANGE DETECTION; UNSUPERVISED CHANGE DETECTION; MARKOV RANDOM-FIELD; CHANGE VECTOR ANALYSIS; LAND-USE CHANGE; URBAN FUNCTIONAL ZONES; SATELLITE IMAGES; SHADOW DETECTION; TIME-SERIES; DATA FUSION;

D O I：

10.1109/MGRS.2021.3063465

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

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. © 2013 IEEE.

引用

页码：68 / 101

页数：34

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