SAR Image Denoising in High Dynamic Range with Speckle and Thermal Noise Refinement Modeling

Ji Hoon Han, Woo Jeoung Nam, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Synthetic Aperture Radar (SAR) images inevitably contain speckle noise. Despeckling SAR images are typically represented as linear forms due to the consistency of denoising network training/inference settings on a linear scale. However, this leads to controversial problems when the linear SAR images are seen with the naked eye: i) restriction of representation for dark areas and ii) excessive expression for bright areas due to the high-intensity range. To overcome these problems, we propose a denoising framework that simultaneously eliminates speckle and thermal noise in the decibel (dB) domain through novel noise modeling. Our noise modeling allows the network to learn in the dB domain of the desired dynamic range, enabling stable end-to-end learning without separate spatial transformations. Our modeling is the first attempt to consider thermal noise. Experimental results show that our method is superior in quantitative and visual performance compared to the existing methods.

Original languageEnglish
Title of host publicationAVSS 2022 - 18th IEEE International Conference on Advanced Video and Signal-Based Surveillance
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665463829
DOIs
Publication statusPublished - 2022
Event18th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2022 - Virtual, Online, Spain
Duration: 2022 Nov 292022 Dec 2

Publication series

NameAVSS 2022 - 18th IEEE International Conference on Advanced Video and Signal-Based Surveillance

Conference

Conference18th IEEE International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2022
Country/TerritorySpain
CityVirtual, Online
Period22/11/2922/12/2

Bibliographical note

Funding Information:
This work was supported by Institute of Information & communications Technology Planning & Evaluation(IITP) grant funded by the Korea government(MSIT) (No. 2019-0-00079, Artificial Intelligence Graduate School Program(Korea University), No. B0101-15-0266, Development of High Performance Visual BigData Discovery Platform for Large-Scale Realtime Data Analysis).

Publisher Copyright:
© 2022 IEEE.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Media Technology

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