A Novel Algorithm for Coastline Fitting through a Case Study over the Bosphorus

Decrease of habitat, coastal erosion, and shoreline changes are recent issues for coastal management. In this study, an algorithm which extracts coastlines efficiently and automatically by processing low- or medium-resolution satellite images has been developed. The junction of sea and land is a com...

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Bibliographic Details
Published in:Journal of coastal research 2008-07, Vol.24 (4), p.983-991
Main Authors: Bayram, Bulent, Acar, Ugur, Seker, Dursun, Ari, Anil
Format: Article
Language:English
Subjects:
Algorithms
Artificial satellites
Changes
Coastal erosion
Coastal zone management
Coastline extraction
Coasts
Digitized images
Digitizing
Extraction processes
Feature extraction
Fuzzy logic
image processing
Image resolution
Landsat
Marine
Methods
Pixels
Remote sensing
segmentation
Setting
Threshing
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Summary:Decrease of habitat, coastal erosion, and shoreline changes are recent issues for coastal management. In this study, an algorithm which extracts coastlines efficiently and automatically by processing low- or medium-resolution satellite images has been developed. The junction of sea and land is a common result yielded by the automatic coastline extraction method. In this study, CORONA (1963), IRS-1D (2000), and LANDSAT-7 (2001) satellite images for the same region in Istanbul, Turkey were used. A novel algorithm was developed for automatic coastline extraction. The algorithm is encoded in a C++environment. The results of automatic coastline extraction obtained from different images were compared to the results derived from manual digitizing. Random control points which are seen on every image were used. The average differences of selected points were calculated. Obtained results from selected points were rendered as 3 pixels on the CORONA and IRS-1D images and as 2 pixels on the LANDSAT-7 image. These show that the differences are similar, although different images were used. On the other hand, the results are acceptable compared to manual digitizing.
ISSN:0749-0208
1551-5036
DOI:10.2112/07-0825.1