Unsupervised Segmentation of Multilook Polarimetric Synthetic Aperture Radar Images

Nizar Bouhlel; Stéphane Méric

doi:10.1109/tgrs.2019.2904401

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JOURNAL ARTICLE

Unsupervised Segmentation of Multilook Polarimetric Synthetic Aperture Radar Images

Nizar Bouhlel Stéphane Méric

Year: 2019 Journal: IEEE Transactions on Geoscience and Remote Sensing Vol: 57 (8)Pages: 6104-6118 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tgrs.2019.2904401

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Abstract

International audience

Keywords:

Markov random field Artificial intelligence Speckle pattern Synthetic aperture radar Computer science Pattern recognition (psychology) Mixture model Image segmentation Segmentation Pixel Speckle noise Radar imaging Expectation–maximization algorithm Gaussian Image texture Computer vision Mathematics Radar Statistics Maximum likelihood

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Topics

Synthetic Aperture Radar (SAR) Applications and Techniques

Physical Sciences → Engineering → Aerospace Engineering

Soil Moisture and Remote Sensing

Physical Sciences → Environmental Science → Environmental Engineering

Advanced SAR Imaging Techniques

Physical Sciences → Engineering → Aerospace Engineering

Unsupervised Segmentation of Multilook Polarimetric Synthetic Aperture Radar Images

Abstract

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