A data-driven approach for clustering scatter values in hybrid-polarimetric SAR images

In this article, we discuss clustering of hybrid-polarimetric SAR images using finite mixture model framework. We use, particularly, Gaussian mixture model to fit the distribution of data. As features of clustering technique, we use three decomposition techniques of hybrid-polarimetric synthetic ape...

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Bibliographic Details
Published in:International journal of remote sensing 2019-06, Vol.40 (11), p.4264-4289
Main Authors: Aswatha, Shashaank Mattur, Mukhopadhyay, Jayanta, Biswas, Prabir, Aikat, Subhas, Misra, Arundhati
Format: Article
Language:English
Subjects:
C band
Clustering
Computer simulation
Data
Decomposition
Frameworks
Imaging techniques
Indian space program
Land use
Modelling
Multivariate analysis
Probabilistic models
Radar
Radar data
Radar imaging
Radar polarimetry
SAR (radar)
Satellite imagery
Satellite observation
Satellites
Scattering
Space research
Synthetic aperture radar
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Summary:In this article, we discuss clustering of hybrid-polarimetric SAR images using finite mixture model framework. We use, particularly, Gaussian mixture model to fit the distribution of data. As features of clustering technique, we use three decomposition techniques of hybrid-polarimetric synthetic aperture radar (SAR) data, namely, , , and decompositions. The three pseudo-power components that are derived from these decompositions are clustered using data-driven multivariate Gaussian modelling. These clustered images would give an idea of land use in terms of three broad classes, viz., surface, volume, and dihedral, which are defined with reference to SAR scattering characteristics. We show the efficiency of this technique by successfully clustering the data where dominant scatter-based clustering could not properly distinguish the scattering phenomenon. We also discuss an incremental directional smoothing for speckle suppression of polarimetric SAR images. For experiments, we use hybrid-polarimetric C-band SAR data from Indian Space Research Organisation's Radar Imaging Satellite (RISAT-1). We also show the results on a simulated hybrid-polarimetric SAR image from Advanced Land Observing Satellite's (ALOS-1) full-polarimetric SAR data. From our experiments, it is seen that the proposed technique performs consistently and satisfactorily in clustering hybrid-polarimetric SAR data on different decomposition techniques.
ISSN:0143-1161
1366-5901
DOI:10.1080/01431161.2018.1562263