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Verlagsausgabe
DOI: 10.5445/IR/1000087846
Veröffentlicht am 26.11.2018
Originalveröffentlichung
DOI: 10.5194/isprs-archives-XLII-1-39-2018

Effect of different segmentation methods using optical satellite imagery to estimate fuzzy clustering parameters for Sentinel-1A SAR images

Bayram, B.; Demir, N.; Akpinar, B.; Oy, S.; Erdem, F.; Vögtle, T.; Seker, D. Z.

Abstract:
Optical and SAR data are efficient data sources for shoreline monitoring. The processing of SAR data such as feature extraction is not an easy task since the images have totally different structure than optical imagery. Determination of threshold value is a challenging task for SAR data. In this study, SENTINEL-2A optical data was used as ancillary data to predict fuzzy membership parameters for segmentation of SENTINEL-1A SAR data to extract shoreline. SENTINEL-2A and SENTINEL-1A satellite images used were taken in September 9, 2016 and September 13, 2016 respectively. Three different segmentation algorithms which are selected from object, learning and pixel-based methods. They have been exploited to obtain land and water classes which have been used as an input data for parameter estimation. Thus, the performance of different segmentation algorithm has been investigated and analysed. In the first step of the study, Mean-Shift, Random Forest and Whale Optimization algorithms have been employed to obtain water and land classes from the SENTINEL-2A image. Water and land classes derived from each algorithm – are used as input data, an ... mehr


Zugehörige Institution(en) am KIT Institut für Photogrammetrie und Fernerkundung (IPF)
Publikationstyp Zeitschriftenaufsatz
Jahr 2018
Sprache Englisch
Identifikator ISSN: 1682-1750
URN: urn:nbn:de:swb:90-878466
KITopen-ID: 1000087846
Erschienen in The international archives of photogrammetry, remote sensing and spatial information sciences
Band 42
Heft 1
Seiten 39-43
Bemerkung zur Veröffentlichung 2018 ISPRS Technical Commission I Midterm Symposium on Innovative Sensing - From Sensors to Methods and Applications; Karlsruhe; Germany; 10 October 2018 through 12 October 2018. Ed.: M. Weinmann
Nachgewiesen in Scopus
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