New Scheme for Impervious Surface Area Mapping From SAR Images With Auxiliary User-Generated Content

New Scheme for Impervious Surface Area Mapping From SAR Images With Auxiliary User-Generated Content

This article presents a new scheme to extract impervious surface area from synthetic-aperture radar (SAR) images exploiting auxiliary user-generated content (UGC). The presented scheme includes the automatic generation of training samples based on the combination of UGC and SAR data, and SAR data pr...

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Bibliographic Details
Main Authors: Wen Wu, Zelang Miao, Yuelong Xiao, Zhongbin Li, Anshu Zhang, Alim Samat, Nianchun Du, Zhuokui Xu, Paolo Gamba
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Clustering-based one-class support vector machine
impervious surface area (ISA)
user-generated content (UGC)
synthetic-aperture radar (SAR)
Online Access:https://ieeexplore.ieee.org/document/9209147/

Internet

https://ieeexplore.ieee.org/document/9209147/

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