Details
Originalsprache | Englisch |
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Titel des Sammelwerks | EUSAR 2018 - 12th European Conference on Synthetic Aperture Radar, Proceedings |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
Seiten | 408-411 |
Seitenumfang | 4 |
ISBN (elektronisch) | 9783800746361 |
Publikationsstatus | Veröffentlicht - 2018 |
Veranstaltung | 12th European Conference on Synthetic Aperture Radar, EUSAR 2018 - Aachen, Deutschland Dauer: 4 Juni 2018 → 7 Juni 2018 |
Publikationsreihe
Name | Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR |
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ISSN (Print) | 2197-4403 |
Abstract
Human evaluation of SAR images as an indirect means for usability-based assessment of SAR systems from which the images arose, is time-consuming and costly. An assessment framework is presented which aims at finding a numerical evaluation to simulate, complement and partly replace the human evaluation of SAR images. In the human evaluation, expert SAR interpreters will be asked to solve a set of representative interpretation tasks on SAR images whose quality results from a specific SAR system and parameter setting. In the proposed assessment framework, it is planned to set up a dependency hypothesis by comparing a first quality metric derived from the interpreter evaluation and a second metric derived from the numerical evaluation. The SAR system component to be investigated first is the coding algorithm where the spatial and amplitude resolution are fundamental parameters. In this paper, we describe first results with respect to spatial resolutions necessary for reliably solving the initial set of representative interpretation tasks and their associated SAR test images. In future, these findings allow to perform subsequent evaluations with a smaller revised set of representative interpretation tasks and their associated images by avoiding those tasks that can always or never be solved.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Signalverarbeitung
- Physik und Astronomie (insg.)
- Instrumentierung
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
EUSAR 2018 - 12th European Conference on Synthetic Aperture Radar, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. S. 408-411 (Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Usability-based SAR system assessment
T2 - 12th European Conference on Synthetic Aperture Radar, EUSAR 2018
AU - Pestel-Schiller, Ulrike
AU - Ostermann, Jörn
N1 - Publisher Copyright: © VDE VERLAG GMBH  Berlin  Offenbach.
PY - 2018
Y1 - 2018
N2 - Human evaluation of SAR images as an indirect means for usability-based assessment of SAR systems from which the images arose, is time-consuming and costly. An assessment framework is presented which aims at finding a numerical evaluation to simulate, complement and partly replace the human evaluation of SAR images. In the human evaluation, expert SAR interpreters will be asked to solve a set of representative interpretation tasks on SAR images whose quality results from a specific SAR system and parameter setting. In the proposed assessment framework, it is planned to set up a dependency hypothesis by comparing a first quality metric derived from the interpreter evaluation and a second metric derived from the numerical evaluation. The SAR system component to be investigated first is the coding algorithm where the spatial and amplitude resolution are fundamental parameters. In this paper, we describe first results with respect to spatial resolutions necessary for reliably solving the initial set of representative interpretation tasks and their associated SAR test images. In future, these findings allow to perform subsequent evaluations with a smaller revised set of representative interpretation tasks and their associated images by avoiding those tasks that can always or never be solved.
AB - Human evaluation of SAR images as an indirect means for usability-based assessment of SAR systems from which the images arose, is time-consuming and costly. An assessment framework is presented which aims at finding a numerical evaluation to simulate, complement and partly replace the human evaluation of SAR images. In the human evaluation, expert SAR interpreters will be asked to solve a set of representative interpretation tasks on SAR images whose quality results from a specific SAR system and parameter setting. In the proposed assessment framework, it is planned to set up a dependency hypothesis by comparing a first quality metric derived from the interpreter evaluation and a second metric derived from the numerical evaluation. The SAR system component to be investigated first is the coding algorithm where the spatial and amplitude resolution are fundamental parameters. In this paper, we describe first results with respect to spatial resolutions necessary for reliably solving the initial set of representative interpretation tasks and their associated SAR test images. In future, these findings allow to perform subsequent evaluations with a smaller revised set of representative interpretation tasks and their associated images by avoiding those tasks that can always or never be solved.
UR - http://www.scopus.com/inward/record.url?scp=85050458732&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85050458732
T3 - Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
SP - 408
EP - 411
BT - EUSAR 2018 - 12th European Conference on Synthetic Aperture Radar, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 June 2018 through 7 June 2018
ER -