REMOVAL OF DIFFERENT TYPES OF NOISES IN SYNTHETIC APERTURE RADAR (SAR) IMAGES FOR IMPROVED SHIP DETECTION

DC Field Value Language
dc.contributor.author 박주한 -
dc.contributor.author 양찬수 -
dc.contributor.author Ahmed Harun-Al-Rashid -
dc.contributor.author Kazuo Ouchi -
dc.date.accessioned 2020-07-15T07:50:41Z -
dc.date.available 2020-07-15T07:50:41Z -
dc.date.created 2020-02-11 -
dc.date.issued 2019-08-09 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/22539 -
dc.description.abstract Synthetic Aperture Radar (SAR) images contain different types of noises which restricts its wide application for the ocean surveillance. Therefore, this study focuses on removing several types of noises from SAR images. At first images were Fourier transformed to obtain frequency domain. Then, sidelobe noises from KOMPSAT-5, and scalloping and thermal noises from Sentinel-1 images were masked out by applying low-pass filter on the frequency domain. Then pixels affected by azimuth ambiguity in KOMPSAT-5 images were determined based on the distance and comparative brightness of the detected ships, and removed accordingly. This method is applied on 4 KOMPSAT-5 images and validated with the visual detection results of ships. The ship detection results without applying noise removal contains up to 59.26% false detections which were fully removed by the proposed method. Thus, the proposed noise reduction scheme has improved the accuracy of ship detection. Further improvement of the algorithm using more images is in progress. -
dc.description.uri 1 -
dc.language English -
dc.publisher IEEE Geoscience and Remote Sensing Society -
dc.relation.isPartOf IGARSS 2019 -
dc.title REMOVAL OF DIFFERENT TYPES OF NOISES IN SYNTHETIC APERTURE RADAR (SAR) IMAGES FOR IMPROVED SHIP DETECTION -
dc.type Conference -
dc.citation.conferencePlace JA -
dc.citation.endPage 1 -
dc.citation.startPage 1 -
dc.citation.title IGARSS 2019 -
dc.contributor.alternativeName 박주한 -
dc.contributor.alternativeName 양찬수 -
dc.identifier.bibliographicCitation IGARSS 2019, pp.1 -
dc.description.journalClass 1 -
Appears in Collections:
Sea Power Enhancement Research Division > Marine Domain & Security Research Department > 2. Conference Papers
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