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Evaluation of Polsar Similarity Measures with Spectral Clustering

Hu, Jingliang and Wang, Yuanyuan and Ghamisi, Pedram and Zhu, Xiaoxiang (2017) Evaluation of Polsar Similarity Measures with Spectral Clustering. In: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IEEE Xplore. IGARSS 2017, 23.-28. July, Fort Worth, US.

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Polarimetric Synthetic Aperture Radar (PolSAR) is a valuable remote sensing data source. It is usually challenging to interpret PolSAR data, especially in urban areas, and hense, spatial clustering comes as a powerful tool for the application of PolSAR data. In data clustering, similarity measurement indexes are of great importance. By far, there are quite some similarity measures of PolSAR data. However, to our knowledge, there has no practical and systematic evaluation of the performances of these measures. In this paper, we evaluate seven different similarity measurements of PolSAR data in the context of clustering using the conventional spectral clustering algorithm.

Item URL in elib:https://elib.dlr.de/112413/
Document Type:Conference or Workshop Item (Poster)
Title:Evaluation of Polsar Similarity Measures with Spectral Clustering
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Hu, Jingliangjingliang.hu (at) dlr.deUNSPECIFIED
Wang, YuanyuantumUNSPECIFIED
Ghamisi, Pedramdlr-imf/tum-lmfUNSPECIFIED
Zhu, Xiaoxiangxiao.zhu (at) dlr.deUNSPECIFIED
Journal or Publication Title:2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
Publisher:IEEE Xplore
Keywords:Polarimetric SAR, similarity measures, spectral clustering
Event Title:IGARSS 2017
Event Location:Fort Worth, US
Event Type:international Conference
Event Dates:23.-28. July
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Hu, Jingliang
Deposited On:19 May 2017 13:48
Last Modified:26 Jan 2018 10:00

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