Open AccessA New Approach to the Histogram-Based Segmentation of Synthetic Aperture Radar Images
Author(s) -
B. Siemiątkowska,
Krzysztof Gromada
Publication year - 2021
Publication title -
journal of automation, mobile robotics and intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.137
H-Index - 8
eISSN - 1897-8649
pISSN - 2080-2145
DOI - 10.14313/jamris/1-2021/5
Subject(s) - artificial intelligence , synthetic aperture radar , computer vision , computer science , histogram , segmentation , radar imaging , remote sensing , robotics , image processing , radar , image segmentation , field (mathematics) , image (mathematics) , geography , robot , telecommunications , mathematics , pure mathematics
Radar machine vision is an emerging research field in the mobile robotics. Because Synthetic ApertureRadars (SAR) are robust against weather and light condition, they provide more useful and reliable in formation than optical images. On the other hand, the data processing is more complicated and less researched than visible light images processing. The main goal of our reasarch is to build simple and efficient method of SAR image analysis. In this article we describe our research related to SAR image segmenta tion and attempts to detect elements such as the build ings, roads and forest areas. Tests were carried out for the images made available by Leonardo Airborne & Space System Company.