Inshore ship detection in high resolution satellite images Approximation of harbours using sea land segmentation

Date

2015-09-24

Author

BEŞBINAR, BERİL
Alatan, Abdullah Aydın

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This paper proposes a novel inshore ship detection method that is based on the approximation of harbour area with piecewise linear line segments. The method heavily depends on a very fine sea-land segmentation, which is realized in two steps in this work. First, an initial mask is generated by thresholding the normalized difference water index (NDWI) using the zero-level of available global elevation data. In the second step, border of the segmentation result is further enhanced via graph-cut algorithm since spectral characteristics of sea close to sea-land border may differ from the ones of deep parts of the sea. The resultant borderline is used for finding line segments that are assumed to represent the man-made harbours. After being merged and eliminated properly, these line segments are used to extract harbour area so that the remaining connected components of the binary mask can be tested for being ship according to their shapes. Test results show that the proposed method is capable of detecting different kinds of ships in a variety of sea states.

Subject Keywords

Remote sensing, Multispectral satellite images, Sea detection, Ship detection, Line segment merging, Graph cut

URI

https://hdl.handle.net/11511/42609

DOI

https://doi.org/10.1117/12.2194928

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

B. BEŞBINAR and A. A. Alatan, “Inshore ship detection in high resolution satellite images Approximation of harbours using sea land segmentation,” 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42609.