A Two-Phase Algorithm Based on Kurtosis Curvelet Energy and Unsupervised Spectral Regression for Segmentation of SAR Images

Tirandaz, Zeinab; Akbarizadeh, Gholamreza

doi:10.1109/jstars.2015.2492552

Cited by 117 publications

(40 citation statements)

References 55 publications

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“…Target Detection schemes [4] consist in deciding if a target of interest is present at a given position of the image. Segmentation [5], [6], aim's is to delimit the image into segments which are conceptually meaningful such as the boundary between land and sea. Finally classification [7], [8], [9], [10] allows to label part of the images with regards to an application of interest.…”

Section: A Motivationsmentioning

confidence: 99%

Design of New Wavelet Packets Adapted to High-Resolution SAR Images With an Application to Target Detection

Mian

Ovarlez

Atto

et al. 2019

IEEE Trans. Geosci. Remote Sensing

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High-Resolution in synthetic aperture radar (SAR) leads to new physical characterizations of scatterers which are anisotropic and dispersive. These behaviors present an interesting source of diversity for target detection schemes. Unfortunately, such characteristics have been integrated and have been naturally lost in monovariate single look SAR images. Modeling this behavior as non-stationarity, wavelet analysis has been successful in retrieving this information. However, the sharp-edge of the used wavelet functions introduces undesired high side-lobes for the strong scatterers present in the images. In this paper, a new family of parametrized wavelets, designed specifically to reduce those side-lobes in the SAR image decomposition, is proposed. Target detection schemes are then explored using this spectroangular diversity and it can be shown that in High-Resolution SAR images, the non-Gaussian and robust framework leads to better results.

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Section: A Motivationsmentioning

confidence: 99%

Design of New Wavelet Packets Adapted to High-Resolution SAR Images With an Application to Target Detection

Mian

Ovarlez

Atto

et al. 2019

IEEE Trans. Geosci. Remote Sensing

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“…Various distributions have been used for texture modeling and segmentation. Gaussian distribution is one of the most commonly used models for texture analysis [24,28,29]. Rayleigh, Weibull [30,31], and Wishart [25] distributions have been also used for texture feature extraction.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Many researchers have used texture modeling and feature extraction in multiresolution domains like wavelet transform [26,27]. Most of these methods use transform coefficients' energy [28], fractal dimension [20], or statistical modeling parameters [29][30][31] as texture features. Different multiresolution transforms have been introduced in recent years.…”

Section: Literature Reviewmentioning

confidence: 99%

Skewed alpha-stable distribution for natural texture modeling and segmentation in contourlet domain

Sarafrazi

Yazdi

2019

J Image Video Proc.

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Texture modeling is a very useful tool in image analysis. This model can be used in texture segmentation, denoising or texture synthesis. In this work, alpha-stable distribution has been proposed to model and segment textured images in contourlet domain. Contourlet transform's ability to extract texture features in different scales and directions combined with alpha-stable distribution's modeling capabilities prove to be an effective method for texture feature extraction. Kolmogorov-Smirnov distance has been used to evaluate how well the proposed distribution fits to the image in the contourlet domain. The performance of the proposed features on image segmentation has been also compared with that of features extracted using different texture analysis methods in the presence of noise. Experimental results have demonstrated the superior performance of the proposed features and their robust performance in the presence of noise.

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“…Some studies have provided suitable distribution models for the target in various fields. For example in the SAR field [38][39], in the task [40][41] was attempted to segment SAR images in two phases by applying the curvelet coefficient energy and an unsupervised spectral regression method and proposed a new parameter estimation technique (KCE) to describe SAR image segmentation, it with fewer coefficients than KWE. This proposed algorithm performed better than the other algorithms.…”

Section: Theoretical Analysismentioning

confidence: 99%

Measurement of interphase forces based on dual-modality ERT/DP sensor in horizontal two-phase flow gas-water

et al. 2019

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In order to better understand the mechanisms of two-phase flow and the prevailing flow regimes in horizontal pipelines, the evaluation of interphase forces is paramount. This study develops a method to quantitatively estimate the interphase force in two-phase gas-water flow in horizontal pipeline. The electrical resistance tomography technology is used to measure the void fraction, while the differential pressure perpendicular to the horizontal pipe is measured in different flow patterns via a Differential Pressure sensor. The inner pipe diameter is 50 mm, the water flow range from 3.26 m 3 /h to 7.36 m 3 /h, the gas flow rate range from 1 to 60 l/min, which covered a range of flow patterns, the absolute pressure range from 0.07 MPa to 0.12 MPa. The relationship between the differential pressure drop and interphase force is established, and the effects of these forces on the flow are analyzed. Experimental results indicate that the dual-modality measurement system was successfully provided a quantitative evaluation of interphase forces in two-phase horizontal gas-water flow.

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A Two-Phase Algorithm Based on Kurtosis Curvelet Energy and Unsupervised Spectral Regression for Segmentation of SAR Images

Cited by 117 publications

References 55 publications

Design of New Wavelet Packets Adapted to High-Resolution SAR Images With an Application to Target Detection

Design of New Wavelet Packets Adapted to High-Resolution SAR Images With an Application to Target Detection

Skewed alpha-stable distribution for natural texture modeling and segmentation in contourlet domain

Measurement of interphase forces based on dual-modality ERT/DP sensor in horizontal two-phase flow gas-water

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