SAR Ship Detection Using Image Histograms and Machine Learning Approach

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Türk Doğa ve Fen Dergisi
Volume:13 Issue:3
SAR Ship Detection Using Image Histograms and Machine Learning Approach

SAR Ship Detection Using Image Histograms and Machine Learning Approach

Authors : Kazım Hanbay, Mücahit Çalışan, Taha Burak Özdemir

Pages : 171-175

Doi:10.46810/tdfd.1528267

View : 167 | Download : 103

Publication Date : 2024-09-26

Article Type : Research Paper

Abstract :Detection of objects through remote sensing is a current research area. Ship detection in SAR images is a very intense research area today. Convenience is provided to those concerned in applications such as military surveillance and tracking of commercial ships. In this study, ship images were classified using the Hessian matrix and HOG algorithm. Using the eigenvalues of the Hessian matrix, the angle and orientation information of the HOG method was calculated. Thus, distinctive pixel characteristics were coded. The proposed method has achieved successful results in experimental studies.
Keywords : Remote sensing, Synthetic aperture radar, Machine learning, Eigenvalues

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