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2- and 3-D Urban Change Detection With Quad-PolSAR Data

Academic Article
Publication Date:
2017
Iris type:
1.1 Articolo in rivista
Keywords:
Buildings; Change detection; Feature extraction; Image segmentation; multivariate Gaussian mixed model (mGMM); Optical imaging; Optical sensors; Quad-PolSAR; superpixel segmentation; Synthetic aperture radar; Urban areas; Geotechnical Engineering and Engineering Geology; Electrical and Electronic Engineering
List of contributors:
Che, Meiqin; Du, Peijun; Gamba, Paolo
Authors of the University:
GAMBA PAOLO ETTORE
Handle:
https://iris.unipv.it/handle/11571/1208511
Published in:
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Journal
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URL

http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8859
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