Robust unsupervised small area change detection from SAR imagery using deep learning

[Display omitted] •A multiscale superpixel reconstruction method was developed to generate the Difference Image.•A two-stage center-constrained FCM algorithm was designed to deal with imbalanced data clustering.•CWNN combined with DCGAN was adopted to classify hard pixels. Small area change detectio...

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Veröffentlicht in:	ISPRS journal of photogrammetry and remote sensing Jg. 173; S. 79 - 94
Hauptverfasser:	Zhang, Xinzheng, Su, Hang, Zhang, Ce, Gu, Xiaowei, Tan, Xiaoheng, Atkinson, Peter M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.03.2021
Schlagworte:	algorithms Change detection data collection Deep learning Difference image Fuzzy c-means algorithm photogrammetry Synthetic aperture radar wavelet Deep learning Fuzzy c-means algorithm Change detection Synthetic aperture radar Difference image
ISSN:	0924-2716, 1872-8235
Online-Zugang:	Volltext
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