ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-8, 153-158, 2016
https://doi.org/10.5194/isprs-annals-III-8-153-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
07 Jun 2016
COASTLINE EXTRACTION FROM AERIAL IMAGES BASED ON EDGE DETECTION
V. Paravolidakis1, K. Moirogiorgou1, L. Ragia2, M. Zervakis1, and C. Synolakis2 1School of Electronic and Computer Engineering, Technical University of Crete, 73100 Kounoupidiana, Chania, Greece
2School of Environmental Engineering, Technical University of Crete, 73100 Kounoupidiana,Chania, Greece
Keywords: Coastal Management, Aerial Images, Optical Image Processing, Region Segmentation, Edge Detection, Active Contours Abstract. Nowadays coastline extraction and tracking of its changes become of high importance because of the climate change, global warming and rapid growth of human population. Coastal areas play a significant role for the economy of the entire region. In this paper we propose a new methodology for automatic extraction of the coastline using aerial images. A combination of a four step algorithm is used to extract the coastline in a robust and generalizable way. First, noise distortion is reduced in order to ameliorate the input data for the next processing steps. Then, the image is segmented into two regions, land and sea, through the application of a local threshold to create the binary image. The result is further processed by morphological operators with the aim that small objects are being eliminated and only the objects of interest are preserved. Finally, we perform edge detection and active contours fitting in order to extract and model the coastline. These algorithmic steps are illustrated through examples, which demonstrate the efficacy of the proposed methodology.
Conference paper (PDF, 1809 KB)


Citation: Paravolidakis, V., Moirogiorgou, K., Ragia, L., Zervakis, M., and Synolakis, C.: COASTLINE EXTRACTION FROM AERIAL IMAGES BASED ON EDGE DETECTION, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-8, 153-158, https://doi.org/10.5194/isprs-annals-III-8-153-2016, 2016.

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