ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W4, 147-151, 2017
https://doi.org/10.5194/isprs-annals-IV-4-W4-147-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
13 Nov 2017
COMPARISON OF TWO SIMPLIFICATION METHODS FOR SHORELINE EXTRACTION FROM DIGITAL ORTHOPHOTO IMAGES
B. Bayram1, A. Sen1, M. O. Selbesoglu1, I. Vārna2, P. Petersons3, N. O. Aykut1, and D. Z. Seker4 1Yildiz Technical University, Civil Engineering Faculty, Dept. of Geomatic Engineering, Davutpasa Campus, 34220 Esenler-Istanbul, Turkey
2University of Latvia, Institute of Geodesy and Geoinformation, 19 Raina Blvd. LV 1586, Riga, Latvia
3Latvian Geospatial Information Agency Ojāra Vaciesa 43, LV-1004, Riga, Latvia
4ITU, Civil Engineering Faculty, 80626 Maslak Istanbul, Turkey
Keywords: SLIC, shoreline extraction, shoreline simplification, Image segmentation, orthophoto image Abstract. The coastal ecosystems are very sensitive to external influences. Coastal resources such as sand dunes, coral reefs and mangroves has vital importance to prevent coastal erosion. Human based effects also threats the coastal areas. Therefore, the change of coastal areas should be monitored. Up-to-date, accurate shoreline information is indispensable for coastal managers and decision makers. Remote sensing and image processing techniques give a big opportunity to obtain reliable shoreline information. In the presented study, NIR bands of seven 1:5000 scaled digital orthophoto images of Riga Bay-Latvia have been used. The Object-oriented Simple Linear Clustering method has been utilized to extract shoreline of Riga Bay. Bend and Douglas-Peucker methods have been used to simplify the extracted shoreline to test the effect of both methods. Photogrammetrically digitized shoreline has been taken as reference data to compare obtained results. The accuracy assessment has been realised by Digital Shoreline Analysis tool. As a result, the achieved shoreline by the Bend method has been found closer to the extracted shoreline with Simple Linear Clustering method.
Conference paper (PDF, 1010 KB)


Citation: Bayram, B., Sen, A., Selbesoglu, M. O., Vārna, I., Petersons, P., Aykut, N. O., and Seker, D. Z.: COMPARISON OF TWO SIMPLIFICATION METHODS FOR SHORELINE EXTRACTION FROM DIGITAL ORTHOPHOTO IMAGES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W4, 147-151, https://doi.org/10.5194/isprs-annals-IV-4-W4-147-2017, 2017.

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