TSPol-ASLIC: Adaptive Superpixel Generation With Local Iterative Clustering for Time-Series Quad- and Dual-Polarization SAR Data

The superpixel generation is a key step for object-based classification and change detection. For the time-series polarimetric synthetic aperture radar (PolSAR) superpixel generation, the traditional polarimetric similarity measure based on the joint covariance matrix has limitations in discriminati...

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Vydáno v:	IEEE transactions on geoscience and remote sensing Ročník 60; s. 1 - 15
Hlavní autoři:	Gao, Han, Wang, Changcheng, Xiang, Deliang, Ye, Jiawei, Wang, Guanya
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Clustering Clustering algorithms Covariance matrices Covariance matrix Detection Dual polarization radar Edge detection Fluctuations Geologic measurements Homogeneity Image segmentation Methods Polarimetric synthetic aperture radar (PolSAR) Polarimetry Polarization Radar Radar imaging Radarsat SAR (radar) Satellites Seeds Sequences Similarity Similarity measures simple local iterative clustering (SLIC) superpixel generation Synthetic aperture radar Time series time-series polarimetric SAR (TSPol)-adaptive simple local iterative clustering (ASLIC)
ISSN:	0196-2892, 1558-0644
On-line přístup:	Získat plný text
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