A New Approach to the Histogram-Based Segmentation of Synthetic Aperture Radar Images

Authors

Keywords: SAR image, machine vision

Abstract

Radar machine vision is an emerging research field in the mobile robotics. Because Synthetic Aperture
Radars (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.

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Published
22.07.2021
Issue
ISSUE 1/2021
Section
Articles

How to Cite

Siemiątkowska, B., & Gromada, K. (2021). A New Approach to the Histogram-Based Segmentation of Synthetic Aperture Radar Images. Journal of Automation, Mobile Robotics and Intelligent Systems, 15(1), 39-42. https://doi.org/10.14313/JAMRIS/1-2021/5
How to Cite
Siemiątkowska, B., & Gromada, K. (2021). A New Approach to the Histogram-Based Segmentation of Synthetic Aperture Radar Images. Journal of Automation, Mobile Robotics and Intelligent Systems, 15(1), 39-42. https://doi.org/10.14313/JAMRIS/1-2021/5
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