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A new approach to the histogram-based segmentation of synthetic aperture radar images

Siemiatkowska Barbara, Gromada Krzysztof

Journal of Automation Mobile Robotics and Intelligent Systems

2021

Vol. 15, No. 1

39--42

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 pro‐ vide more useful and reliable information 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 research is to build sim‐ ple and efficient method of SAR image analysis. In this ar‐ ticle we describe our research related to SAR image seg‐ mentation and attempts to detect elements such as the buildings, roads and forest areas. Tests were carried out for the images made available by Leonardo Airborne & Space System Company.