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

Metadata

Show full item record

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

Item Usage Stats

151
views

0
downloads

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

Suggestions

OpenMETU
Core

Inshore Ship Detection in Multispectral Satellite Images Besbinar, Beril; Gürbüz, Yeti Ziya; Alatan, Abdullah Aydın (2015-05-19) In this paper, a novel method is proposed for the detection of sea and inshore ships in satellite images which contain red, green, blue and near-infrared bands. For sea detection, an initial mask is obtained by thresholding the water index calculated using green and near infrared bands. At the second stage, models of sea and land learned via the initial mask are used in graph-cut method and a sea-land mask with high accuracy is obtained. Linear extension of the line segments on the sea-land mask boundary is...
Topological Navigation Algorithm Design and Analysis Using Spherical Images Şahin, Yasin; Koku, Ahmet Buğra; Department of Mechanical Engineering (2022-8-23) A topological navigation algorithm that has the capability of mapping and localization based on visual contents is proposed. Keypoint detection and feature matching are conducted on spherical images to extract significant features among sequential frames. Robot movement direction is estimated based on historical angle differences of significant features to reach the final destination. The navigation process is supported with visual egocentric localization to gain simultaneous localization and mapping compet...
Analytical formulation of maximum length limits of integral bridges on cohesive soils Dicleli, Murat (Canadian Science Publishing, 2005-08-01) This paper presents an analytical approach for predicting the length limits of integral bridges built on cohesive soils based on the flexural strength of the abutments and the low cycle fatigue performance of the steel H-piles at the abutments under cyclic thermal loading. First, H-piles that can accommodate large inelastic deformations are determined considering their local buckling instability. Then, a damage model is used to determine the maximum cyclic deformations that such piles can sustain. Next, non...
Sea Detection on High-Resolution Panchromatic Satellite Images Using Texture and Intensity Besbinar, Beril; Alatan, Abdullah Aydın (2014-01-01) In this paper, a two-stage sea-land mask detection algorithm on high resolution panchromatic images is proposed. An initial mask is generated using texture features in the first stage and this mask is refined by using intensity values in the second stage. Image is divided into windows and the Local Binary Patterns (LBP) histograms, evaluated at each window, are modelled using the sea and land sample spaces obtained by the altitude information which has very low resolution compared to the image. These models...
GPS-Based Real-Time Orbit Determination of Low Earth Orbit Satellites Using Robust Unscented Kalman Filter Karslıoğlu, Mahmut Onur; Erdogan, Eren; Pamuk, Onur (2017-11-01) In this research, a novel algorithm for real-time orbit determination (RTOD) is presented using the robust unscented Kalman filter (RUKF) with global positioning system (GPS) group and phase ionospheric correction (GRAPHIC) observables. To increase the reliability of the solution, a robust approach is included in the UKF to cope with the bad, invalid, or degraded measurements leading to the divergence or inaccurate output of the filter. Robustness is provided by making the filter less sensitive to faulty me...

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.