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Synthetic aperture radar (SAR) has a pivotal role as a remote imaging method. Obtained by means of coherent illumination, SAR images are contaminated with speckle noise. The statistical modeling of such contamination is well described…

Computation · Statistics 2012-07-11 Renato J. Cintra , Abraão D. C. Nascimento , Alejandro C. Frery

This work presents a comprehensive examination of the use of information theory for understanding Polarimetric Synthetic Aperture Radar (PolSAR) images by means of contrast measures that can be used as test statistics. Due to the phenomenon…

Methodology · Statistics 2014-02-11 A. C. Frery , A. D. C. Nascimento , R. J. Cintra

This paper presents two approaches for filter design based on stochastic distances for intensity speckle reduction. A window is defined around each pixel, overlapping samples are compared and only those which pass a goodness-of-fit test are…

Information Theory · Computer Science 2013-08-21 Leonardo Torres , Alejandro C. Frery

This paper presents a new approach for filter design based on stochastic distances and tests between distributions. A window is defined around each pixel, samples are compared and only those which pass a goodness-of-fit test are used to…

Information Theory · Computer Science 2012-07-04 Leonardo Torres , Tamer Cavalcante , Alejandro C. Frery

Images obtained from coherent illumination processes are contaminated with speckle. A prominent example of such imagery systems is the polarimetric synthetic aperture radar (PolSAR). For such remote sensing tool the speckle interference…

Information Theory · Computer Science 2018-09-18 Abraão D. C. Nascimento , Alejandro C. Frery , Renato J. Cintra

This paper presents a new approach for filter design based on stochastic distances and tests between distributions. A window is defined around each pixel, overlapping samples are compared and only those which pass a goodness-of-fit test are…

Information Theory · Computer Science 2013-08-30 Leonardo Torres , Tamer Cavalcante , Alejandro C. Frery

This research tackles the challenge of speckle noise in Synthetic Aperture Radar (SAR) space data, a prevalent issue that hampers the clarity and utility of SAR images. The study presents a comparative analysis of six distinct speckle noise…

Machine Learning · Computer Science 2024-08-19 Sanjjushri Varshini R , Rohith Mahadevan , Bagiya Lakshmi S , Mathivanan Periasamy , Raja CSP Raman , Lokesh M

Speckle noise, inherent in synthetic aperture radar (SAR) images, degrades the performance of the various SAR image analysis tasks. Thus, speckle noise reduction is a critical preprocessing step for smoothing homogeneous regions while…

Computer Vision and Pattern Recognition · Computer Science 2018-01-16 Fatih Nar

SAR (Synthetic Aperture Radar) imaging plays a central role in Remote Sensing due to, among other important features, its ability to provide high-resolution, day-and-night and almost weather-independent images. SAR images are affected from…

Computer Vision and Pattern Recognition · Computer Science 2017-04-21 Luis Gomez , Raydonal Ospina , Alejandro C. Frery

Polarimetric synthetic aperture radar (PolSAR) has achieved a prominent position as a remote imaging method. However, PolSAR images are contaminated by speckle noise due to the coherent illumination employed during the data acquisition.…

Statistics Theory · Mathematics 2020-06-16 Abraão D. C. Nascimento , Michelle M. Horta , Alejandro C. Frery , Renato J. Cintra

The statistical properties of Synthetic Aperture Radar (SAR) image texture reveals useful target characteristics. It is well-known that these images are affected by speckle, and prone to contamination as double bounce and corner reflectors.…

Applications · Statistics 2018-10-02 Débora Chan , Andrea Rey , Juliana Gambini , Alejandro C. Frery

This paper presents a technique for reducing speckle in Polarimetric Synthetic Aperture Radar (PolSAR) imagery using Nonlocal Means and a statistical test based on stochastic divergences. The main objective is to select homogeneous pixels…

Information Theory · Computer Science 2013-04-18 Leonardo Torres , Sidnei J. S. Sant'Anna , Corina C. Freitas , Alejandro C. Frery

Synthetic aperture radar (SAR) images are affected by a spatially-correlated and signal-dependent noise called speckle, which is very severe and may hinder image exploitation. Despeckling is an important task that aims at removing such…

Image and Video Processing · Electrical Eng. & Systems 2021-05-04 Giulia Fracastoro , Enrico Magli , Giovanni Poggi , Giuseppe Scarpa , Diego Valsesia , Luisa Verdoliva

Speckle noise is an inherent disturbance in coherent imaging systems such as digital holography, synthetic aperture radar, optical coherence tomography, or ultrasound systems. These systems usually produce only single observation per view…

Image and Video Processing · Electrical Eng. & Systems 2022-05-19 Tsung-Ming Tai , Yun-Jie Jhang , Wen-Jyi Hwang , Chau-Jern Cheng

Polarimetric Synthetic Aperture Radar (PolSAR) images are an important source of information. Speckle noise gives SAR images a granular appearance that makes interpretation and analysis hard tasks. A major issue is the assessment of…

Applications · Statistics 2019-05-01 M. G. Palacio , S. B. Ferrero , A. C. Frery

Speckle noise is a fundamental challenge in coherent imaging systems, significantly degrading image quality. Over the past decades, numerous despeckling algorithms have been developed for applications such as Synthetic Aperture Radar (SAR)…

Information Theory · Computer Science 2025-01-31 Ali Zafari , Shirin Jalali

Speckle is a multiplicative noise which affects all coherent imaging modalities including Synthetic Aperture Radar (SAR) images. The presence of speckle degrades the image quality and adversely affects the performance of SAR image…

Image and Video Processing · Electrical Eng. & Systems 2023-06-21 Malsha V. Perera , Nithin Gopalakrishnan Nair , Wele Gedara Chaminda Bandara , Vishal M. Patel

Speckle noise is generated along with the SAR imaging mechanism and degrades the quality of SAR images, leading to difficult interpretation. Hence, despeckling is an indispensable step in SAR pre-processing. Fortunately, supervised learning…

Image and Video Processing · Electrical Eng. & Systems 2025-03-26 Liang Chen , Yifei Yin , Hao Shi , Jingfei He , Wei Li

We study hypothesis testing under communication constraints, where each sample is quantized before being revealed to a statistician. Without communication constraints, it is well known that the sample complexity of simple binary hypothesis…

Statistics Theory · Mathematics 2023-12-19 Ankit Pensia , Varun Jog , Po-Ling Loh

Multilook coherent imaging is a widely used technique in applications such as digital holography, ultrasound imaging, and synthetic aperture radar. A central challenge in these systems is the presence of multiplicative noise, commonly known…

Machine Learning · Statistics 2025-05-30 Xi Chen , Soham Jana , Christopher A. Metzler , Arian Maleki , Shirin Jalali
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