Unsupervised Segmentation of SAR Images Using Gaussian Mixture-Hidden Evidential Markov Fields

Mohamed El Yazid Boudaren; Lin An; Wojciech Pieczynski

doi:10.1109/lgrs.2016.2615647

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JOURNAL ARTICLE

Unsupervised Segmentation of SAR Images Using Gaussian Mixture-Hidden Evidential Markov Fields

Mohamed El Yazid Boudaren Lin An Wojciech Pieczynski

Year: 2016 Journal: IEEE Geoscience and Remote Sensing Letters Vol: 13 (12)Pages: 1865-1869 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/lgrs.2016.2615647

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Abstract

International audience

Keywords:

Artificial intelligence Pattern recognition (psychology) Hidden Markov model Computer science Image segmentation Segmentation Synthetic aperture radar Gaussian Mixture model Computer vision Physics

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1.87

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0.90

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Citation History

Topics

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Unsupervised Segmentation of SAR Images Using Gaussian Mixture-Hidden Evidential Markov Fields

Abstract

Metrics

Citation History

Topics

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