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ANALYSIS OF SENTINEL-1 TOPSAR RAW DATA FOR SYNTHESIZING SINGLE LOOK COMPLEX IMAGE
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dc.contributor.authorKim, Kyeongrok-
dc.contributor.authorKim, Jae Hyun-
dc.date.issued2021-01-01-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/36705-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85126001840&origin=inward-
dc.description.abstractResearchers of SAR image applications use SNAP, SARscape, or Gamma software for processing SAR images. However, commercial software doesn't provide level-0 raw data processing and the cost of usage is expensive. In this paper, we propose the method for Sentinel-1 level-0 raw data processing. The method is composed of satellite data parsing, decoding, Sentinel-1 mode analyzing, and focusing algorithm. Our method can extract a swath number before focusing algorithm. Thus, there is advantageous in terms of processing time reduction using swath alignment. As a results of data analysis and program development, we synthesize single look complex image. Although the image should be enhanced the resolution, we expect that the proposed method is a valuable engineering guideline for researchers to process SAR images.-
dc.description.sponsorshipThis research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2021-2018-0-01424) supervised by the IITP(Institute for Information communications Technology Promotion)-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleANALYSIS OF SENTINEL-1 TOPSAR RAW DATA FOR SYNTHESIZING SINGLE LOOK COMPLEX IMAGE-
dc.typeConference-
dc.citation.conferenceDate2021.7.12. ~ 2021.7.16.-
dc.citation.conferenceName2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021-
dc.citation.editionIGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Proceedings-
dc.citation.endPage3947-
dc.citation.startPage3944-
dc.citation.titleInternational Geoscience and Remote Sensing Symposium (IGARSS)-
dc.citation.volume2021-July-
dc.identifier.bibliographicCitationInternational Geoscience and Remote Sensing Symposium (IGARSS), Vol.2021-July, pp.3944-3947-
dc.identifier.doi10.1109/igarss47720.2021.9553558-
dc.identifier.scopusid2-s2.0-85126001840-
dc.subject.keywordImage application-
dc.subject.keywordSAR-
dc.subject.keywordSentinel-1-
dc.subject.keywordSingle look complex-
dc.subject.keywordTOPS-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaComputer Science Applications-
dc.subject.subareaEarth and Planetary Sciences (all)-
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Kim, Jae-Hyun김재현
Department of Electrical and Computer Engineering
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