Title
Spatiotemporal Fuzzy Clustering Strategy for Urban Expansion Monitoring Based on Time Series of Pixel-Level Optical and SAR Images
Abstract
Monitoring urban expansion dynamically using remote sensing technology is an essential method for obtaining and understanding urban spatial structure. However, the quality of traditional optical images in some areas is poor due to clouds and fog. Compared to optical images, synthetic aperture radar (SAR) can achieve earth observations without the limits of sunlight and weather conditions, but its ...
Year
DOI
Venue
2017
10.1109/JSTARS.2017.2657607
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Optical imaging,Optical sensors,Time series analysis,Synthetic aperture radar,Adaptive optics,Monitoring,Remote sensing
Time series,Fuzzy clustering,Computer vision,Speckle pattern,Urban spatial structure,Synthetic aperture radar,Remote sensing,Fuzzy logic,Inverse synthetic aperture radar,Artificial intelligence,Pixel,Mathematics
Journal
Volume
Issue
ISSN
10
5
1939-1404
Citations 
PageRank 
References 
3
0.40
30
Authors
6
Name
Order
Citations
PageRank
Shuang Li14814.14
Yafei Wang2192.90
Peipei Chen330.40
Xinliang Xu4114.61
Chengqi Cheng51918.71
Bo Chen693.57