A multi-objective approach for multi-channel SAR despeckling

Sergio Vitale, H. Aghababaei, Giampaolo Ferraioli, Vito Pascazio, Gilda Schirinzi

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
83 Downloads (Pure)

Abstract

SAR image interpretation is always impaired by speckle that is a multiplicative noise due to interference among the backscatterings from targets inside a resolution cell. Many algorithms for both single and multi-channel SAR despeckling have been proposed in the last forty years following different approaches. Recently, a multi-objective convolutional neural network, named MONet, has been proposed for single channel SAR despeckling. It relies on a mulit-objectvie cost function that takes into account three main aspects of the SAR images: noise removal, details and statistics preservation. Inspired by MONet, in this paper a deep learning method for InSAR phase filtering is proposed. The idea is to benefit from the multi-objective cost function defined in MONet that seems to perfectly fit with the interferogram denoising. This is the first step towards a solution able to provide a complete processed multi-channel product.

Original languageEnglish
Title of host publicationIGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages419-422
Number of pages4
ISBN (Electronic)978-1-6654-0369-6
ISBN (Print)978-1-6654-4762-1, 978-1-6654-0368-9 (USB)
DOIs
Publication statusPublished - 12 Oct 2021
Event2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Brussels, Belgium
Duration: 12 Jul 202116 Jul 2021
https://igarss2021.com

Publication series

NameIEEE International Geoscience and Remote Sensing Symposium (IGARSS)
PublisherIEEE
Volume2021
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Conference

Conference2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Abbreviated titleIGARSS 2021
Country/TerritoryBelgium
CityBrussels
Period12/07/2116/07/21
Internet address

Keywords

  • Deep learning
  • Denoising
  • MultiChannel
  • SAR
  • 22/1 OA procedure

Fingerprint

Dive into the research topics of 'A multi-objective approach for multi-channel SAR despeckling'. Together they form a unique fingerprint.

Cite this