Parallel implementation of a despeckling in SAR images using GPU based segmentation and 3D-MAP estimation

Aranda-Bojorges, Gibran; Garcia-Salgado, Beatriz P.; Ponomaryov, Volodymyr I.; Lopez-García, Osvaldo; Reyes-Reyes, Rogelio

doi:10.1117/12.2618084

Cited by 1 publication

(3 citation statements)

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“…, R. In several of the techniques that follow, it may become necessary to further partition the azimuth angles. 1 In such cases we consider the azimuth angles θ 1 , . .…”

Section: Sar Image Recoverymentioning

confidence: 99%

“…These approaches hold the promise of enhanced target recognition and identification, detailed topographic maps, and improved change detection, [1,2,7,33].…”

mentioning

confidence: 99%

“…We note that(14) is modified from the point estimate derived in[19,32] in two ways:(1) Here we include phase extraction in the sequential difference regularization term, and (2) there ĝ was rotated and projected (according to u, v) before incorporating it into the objective function.…”

mentioning

confidence: 99%

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Leveraging joint sparsity in 3D synthetic aperture radar imaging

Green,

Jamora,

Gelb

2023

AMMC

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Three-dimensional (3D) synthetic aperture radar (SAR) imaging is an active and growing field of research with various applications in both military and civilian domains. Sparsity promoting computational inverse methods have proven to be effective in providing point estimates for the volumetric image. Such techniques have been enhanced by leveraging sequential joint sparsity information from nearby aperture windows. This investigation extends these ideas by introducing a Bayesian volumetric approach that leverages the assumption of sequential joint sparsity. In addition to obtaining a point estimate, our new approach also enables uncertainty quantification. As demonstrated in simulated experiments, our approach compares favorably to currently used methodology for point estimate approximations, and has the additional advantage of providing uncertainty quantification for two-dimensional projections of the volumetric image.

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“…, R. In several of the techniques that follow, it may become necessary to further partition the azimuth angles. 1 In such cases we consider the azimuth angles θ 1 , . .…”

Section: Sar Image Recoverymentioning

confidence: 99%

“…These approaches hold the promise of enhanced target recognition and identification, detailed topographic maps, and improved change detection, [1,2,7,33].…”

mentioning

confidence: 99%