Work

SAR Ship Detection Using Image Histograms and Machine Learning Approach

Year: 2024

Type: article

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.

Source: Türk doğa ve fen dergisi :/Türk doğa ve fen dergisi

DOI: 10.46810/tdfd.1528267

Authors: Kazım Hanbay, Mücahit Çalışan, Taha Burak Özdemir

Institutions: Inonu University, Bingöl University

Language: English

Topic: Advanced SAR Imaging Techniques

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Funder: Türkiye Bilimsel ve Teknolojik Araştırma Kurumu

Award: Sar Görüntülerinden Gemi Tespiti İçin Diferansiyel Hesaplamalar Ve Derin Öğrenme Temelli Yaklaşımlar Geliştirilmesi