A Filtering Problem: SAR Speckle Filtering

Alessandro Sebastianelli; Maria Pia  Del Rosso; Silvia Liberata Ullo; Andrea Radius; Carmine Clemente; Danilo Orlando; Filippo Biondi; James Wheeler

doi:10.1049/PBTE098E_ch10

A Filtering Problem: SAR Speckle Filtering

Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo, Andrea Radius, Carmine Clemente, Danilo Orlando, Filippo Biondi, James Wheeler

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

This chapter presents the problem of speckle filtering. After an introduction to the problem, the authors propose a case study on speckle filtering from Sentinel-1 images, using a Deep Learning approach.

Original language	English
Title of host publication	Artificial Intelligence Applied to Satellite-Based Remote Sensing Data for Earth Observation
Editors	Maria Pia Del Rosso, Alessandro Sebastianelli, Silvia Liberata Ullo
Chapter	10
ISBN (Electronic)	9781839532139
DOIs	https://doi.org/10.1049/PBTE098E_ch10
Publication status	Published - 1 Sept 2021

Keywords

speckle filtering
deep Learning approach
computer vision
Sentinel-1 speckle filtering
sar images
multi-modal speckle filtering
synthetic aperture radar
radar computing
radar imaging

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10.1049/PBTE098E_ch10

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title = "A Filtering Problem: SAR Speckle Filtering",

abstract = "This chapter presents the problem of speckle filtering. After an introduction to the problem, the authors propose a case study on speckle filtering from Sentinel-1 images, using a Deep Learning approach.",

keywords = "speckle filtering, deep Learning approach, computer vision, Sentinel-1 speckle filtering, sar images, multi-modal speckle filtering, synthetic aperture radar, radar computing, radar imaging",

author = "Alessandro Sebastianelli and {Del Rosso}, {Maria Pia} and Ullo, {Silvia Liberata} and Andrea Radius and Carmine Clemente and Danilo Orlando and Filippo Biondi and James Wheeler",

note = "{\textcopyright} The Institution of Engineering and Technology 2023",

year = "2021",

month = sep,

day = "1",

doi = "10.1049/PBTE098E_ch10",

language = "English",

isbn = "9781839532122",

editor = "{Del Rosso}, {Maria Pia } and Sebastianelli, {Alessandro } and {Ullo }, {Silvia Liberata }",

booktitle = "Artificial Intelligence Applied to Satellite-Based Remote Sensing Data for Earth Observation",

}

A Filtering Problem: SAR Speckle Filtering. / Sebastianelli, Alessandro; Del Rosso, Maria Pia ; Ullo, Silvia Liberata et al.
Artificial Intelligence Applied to Satellite-Based Remote Sensing Data for Earth Observation. ed. / Maria Pia Del Rosso; Alessandro Sebastianelli; Silvia Liberata Ullo . 2021.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - A Filtering Problem

T2 - SAR Speckle Filtering

AU - Sebastianelli, Alessandro

AU - Del Rosso, Maria Pia

AU - Ullo, Silvia Liberata

AU - Radius, Andrea

AU - Clemente, Carmine

AU - Orlando, Danilo

AU - Biondi, Filippo

AU - Wheeler, James

N1 - © The Institution of Engineering and Technology 2023

PY - 2021/9/1

Y1 - 2021/9/1

N2 - This chapter presents the problem of speckle filtering. After an introduction to the problem, the authors propose a case study on speckle filtering from Sentinel-1 images, using a Deep Learning approach.

AB - This chapter presents the problem of speckle filtering. After an introduction to the problem, the authors propose a case study on speckle filtering from Sentinel-1 images, using a Deep Learning approach.

KW - speckle filtering

KW - deep Learning approach

KW - computer vision

KW - Sentinel-1 speckle filtering

KW - sar images

KW - multi-modal speckle filtering

KW - synthetic aperture radar

KW - radar computing

KW - radar imaging

U2 - 10.1049/PBTE098E_ch10

DO - 10.1049/PBTE098E_ch10

M3 - Chapter

SN - 9781839532122

BT - Artificial Intelligence Applied to Satellite-Based Remote Sensing Data for Earth Observation

A2 - Del Rosso, Maria Pia

A2 - Sebastianelli, Alessandro

A2 - Ullo , Silvia Liberata

ER -

A Filtering Problem: SAR Speckle Filtering

Abstract

Keywords

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