Interpreter-based evaluation of compressed SAR images using JPEG and HEVC intra coding: Compression can improve usability

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Original languageEnglish
Title of host publicationEUSAR 2021 - 13th European Conference on Synthetic Aperture Radar, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages770-775
Number of pages6
ISBN (print)9783800754571
Publication statusPublished - 2021
Event13th European Conference on Synthetic Aperture Radar, EUSAR 2021 - Virtual, Online, Germany
Duration: 29 Mar 20211 Apr 2021

Publication series

NameProceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Volume2021-March
ISSN (Print)2197-4403

Abstract

Usability-based assessment of SAR systems is time-consuming and costly, if based on human evaluation. We investigate an assessment system which aims at finding algorithms to simulate, complement and partly replace this evaluation. The system component investigated is the coding with spatial and amplitude resolution as parameters. Images of different qualities were generated by JPEG and intra-HEVC for evaluation. SAR experts solved tasks on SAR images with different qualities. A quality metric called weighted F1-score evaluates the solved tasks. Best score is at a data rate of 0.30 bit/pel with spatial resolution of 11 cm using JPEG.

Keywords

    Data compression, Image evaluation, SAR

ASJC Scopus subject areas

Cite this

Interpreter-based evaluation of compressed SAR images using JPEG and HEVC intra coding: Compression can improve usability. / Pestel-Schiller, Ulrike; Ostermann, Jörn.
EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. p. 770-775 (Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR; Vol. 2021-March).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Pestel-Schiller, U & Ostermann, J 2021, Interpreter-based evaluation of compressed SAR images using JPEG and HEVC intra coding: Compression can improve usability. in EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar, Proceedings. Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, vol. 2021-March, Institute of Electrical and Electronics Engineers Inc., pp. 770-775, 13th European Conference on Synthetic Aperture Radar, EUSAR 2021, Virtual, Online, Germany, 29 Mar 2021. <https://ieeexplore.ieee.org/document/9472651>
Pestel-Schiller, U., & Ostermann, J. (2021). Interpreter-based evaluation of compressed SAR images using JPEG and HEVC intra coding: Compression can improve usability. In EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar, Proceedings (pp. 770-775). (Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR; Vol. 2021-March). Institute of Electrical and Electronics Engineers Inc.. https://ieeexplore.ieee.org/document/9472651
Pestel-Schiller U, Ostermann J. Interpreter-based evaluation of compressed SAR images using JPEG and HEVC intra coding: Compression can improve usability. In EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. p. 770-775. (Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR).
Pestel-Schiller, Ulrike ; Ostermann, Jörn. / Interpreter-based evaluation of compressed SAR images using JPEG and HEVC intra coding : Compression can improve usability. EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 770-775 (Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR).
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abstract = "Usability-based assessment of SAR systems is time-consuming and costly, if based on human evaluation. We investigate an assessment system which aims at finding algorithms to simulate, complement and partly replace this evaluation. The system component investigated is the coding with spatial and amplitude resolution as parameters. Images of different qualities were generated by JPEG and intra-HEVC for evaluation. SAR experts solved tasks on SAR images with different qualities. A quality metric called weighted F1-score evaluates the solved tasks. Best score is at a data rate of 0.30 bit/pel with spatial resolution of 11 cm using JPEG.",
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