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SAR Image Segmentation Based on Level Set Approach and {\cal G}_A^0 Model

https://doi.org/10.1109/tpami.2011.274

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Optimal approximations by piecewise smooth functions and associated variational problems

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Synthetic aperture radar — systems and signal processing

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A novel method for speckle noise reduction and ship target detection in SAR images

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Statistical characterisation and modelling of SAR images

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Bootstrap Methods and their Application

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Classification of SAR images using a general and tractable multiplicative model

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Feature extraction in speckled imagery using dynamic B‐spline deformable contours under the model

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Level Set Evolution without Re-Initialization: A New Variational Formulation

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Real-Time Tracking Using Level Sets

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Contrast in speckled imagery with stochastic distances

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SAR Image Segmentation Based on Level Set With Stationary Global Minimum

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Adaptive Noise Smoothing Filter for Images with Signal-Dependent Noise

inferredcites →https://doi.org/10.1109/tpami.2005.106openalex-snapshot

Multiregion level-set partitioning of synthetic aperture radar images

inferredcites →https://doi.org/10.1109/tpami.2008.160openalex-snapshot

On Symmetry, Perspectivity, and Level-Set-Based Segmentation

inferredcites →https://doi.org/10.1109/tsmcc.2008.2006685openalex-snapshot

Target Detection in SAR Images Based on a Level Set Approach

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Boundary-based image segmentation using binary level set method

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M-Estimators of Roughness and Scale for"Equation missing" -Modelled SAR Imagery

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Analysis of Minute Features in Speckled Imagery with Maximum Likelihood Estimation

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Statistical Modeling of SAR Images: A Survey

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A Fast Level Set Method for Synthetic Aperture Radar Ocean Image Segmentation

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From finite sample to asymptotic methods in statistics

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