Synthetic aperture radar (SAR) images, like other coherent imaging modalities, suffer from speckle noise. The presence of this noise makes the automated interpretation of pictures a challenging task and noise reduction is typically a requirement for successful use of classical image processing algorithms. Numerous approaches have been proposed to filter speckle noise. Markov random field (MRF) modelization provides a convenient approach to specific both data fidelity constraints and fascinating properties of the filtered image. In this context, total variation minimization has been extensively used to constrain the oscillations in the regularized image while preserving its edges. Speckle noise follows serious-tailed distributions, and therefore the MRF formulation leads to a minimization problem involving nonconvex log-chance terms. Such a minimization will be performed efficiently by computing minimum cuts on weighted graphs. Due to memory constraints, exact minimization, although theoretically doable, isn't achievable on massive pictures required by remote sensing applications. The computational burden of the state-of-the-art algorithm for approximate minimization (particularly the -growth) is simply too serious specially when considering joint regularization of many pictures. We have a tendency to show that a satisfying solution can be reached, in few iterations, by performing a graph-cut-based combinatorial exploration of large trial moves. This algorithm is applied to joint regularization of the amplitude and interferometric section in urban space SAR pictures.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Passive Noise Shaping in SAR ADC With Improved Efficiency - 2018ABSTRACT:This brief reports a passive noise-shaping (PNS) theme for successive approximation register (SAR) analog-to-digital converter (ADC) primarily
PROJECT TITLE :Overview Of Airborne Sar Data Processing Alogorithms - 2017ABSTRACT:Synthetic Aperture RADAR (SAR) could be a sort of imaging radar in which the relative motion of the antenna and target is the key. SAR is a well
PROJECT TITLE : Classification on the Monogenic Scale Space: Application to Target Recognition in SAR Image - 2015 ABSTRACT: This paper introduces a unique classification strategy based on the monogenic scale space for target
PROJECT TITLE : A modified level set approach for segmentation of multiband polarimetric sar images - 2014 ABSTRACT: This paper investigates the appliance of a level set methodology for the automated multiphase segmentation
PROJECT TITLE : Separated Component Based Restoration of Speckled SAR Images - 2014 ABSTRACT: Several coherent imaging modalities like artificial aperture radar suffer from a multiplicative noise, commonly known as speckle,

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry