Intra-Year Urban Renewal in Metropolitan Cities Using Time Series SAR and Optical Data
Author:
Affiliation:
1. The University of Hong Kong,Department of Geography,Hong Kong,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883504.pdf?arnumber=9883504
Reference16 articles.
1. Efficiency of crop identification based on optical and SAR image time series
2. Fusion of Sentinel-1 and Sentinel-2 image time series for permanent and temporary surface water mapping
3. Incorporating synthetic aperture radar and optical images to investigate the annual dynamics of anthropogenic impervious surface at large scale
4. Synergistic Use of Optical and Dual-Polarized SAR Data With Multiple Kernel Learning for Urban Impervious Surface Mapping
5. Impervious Surface Estimation From Optical and Polarimetric SAR Data Using Small-Patched Deep Convolutional Networks: A Comparative Study
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