Experimental Results of High-Resolution ISAR Imaging of Ground-Moving Vehicles with a Stationary FMCW Rada

In the paper experimental results of ISAR (Inverse Synthetic Aperture Radar) processing obtained with highresolution radar are presented. Targets under observation were ground moving vehicles, such as cars, trucks and tractors. The experiments were performed with a FMCW (Frequency- Modulated Continuous-Wave) radar operating at 94 GHz with almost 1 GHz of bandwidth. Due to the measurement scenario more typical for SAR (Synthetic Aperture Radar), than ISAR, i.e. targets moving along straight line crossing the antenna beam, algorithms usually applied for SAR processing have been used

Implementation and Results of New High Resolution SAR Modes for an Airborne Maritime Patrol Radar

The paper presents new high resolution SAR results of real-life measurements using an updated ARS-400/ARS-800 SAR sensor installed on the maritime patrol aircraft M-28. The main role for such radars is surveying the sea surface, and the imaging of selected targets (e.g. ships, roads, vehicles, buildings, etc.) to help the operator in classifying them. In the present day increasing computing power, improved algorithms and general technological progress has allowed the obtaining of better results in SAR imagery

Analysis and comparison of programming frameworks used for automated tests

This article compares and discusses the programming skeletons for automatic tests. Two test skeletons have been selected for testing purposes and then a test environment has been installed and configured, in which appropriate test scenarios have been prepared. Once the test environment has been properly prepared, measurements of the time to launch both frameworks were performed. The results obtained were shown in the form of tables and charts for later analysis. The frameworks were also analyzed in terms of syntax and functionality. At the end, a summary was presented, containing more information and conclusions that resulted from the analysis

Geometrical Matching of SAR and Optical Images Utilizing ASIFT Features for SAR-based Navigation Aided Systems

This article presents a new approach to the estimation of shift and rotation between two images from different kinds of imaging sensors. The first of the image is an orthophotomap that is created using optical sensors with georeference information. The second one is created utilizing a Synthetic Aperture Radar (SAR) sensor.The proposed solution can be mounted on a flying platform, and, during the flight, the obtained SAR images are compared with the reference optical images, and thus it is possible to calculate the shift and rotation between these two images and then the direct georeferencing error. Since both images have georeference information, it is possible to calculate the navigation correction in cases when the drift of the calculated trajectory is expected. The method can be used in platforms where there is no satellite navigation signal and the trajectory is calculated on the basis of an inertial navigation system, which is characterized by a significant error. The proposed method of estimating the navigation error utilizing Affine Scale-Invariant Feature Transform (ASIFT) and Structure from Motion (SfM) is described, and techniques for improving the quality of SAR imaging using despeckling filters are presented. The methodology was tested and verified using real-life SAR images. Differences between the results obtained for a few selected despeckling methods were compared and commented on. Deep investigation of the nature of the SAR imaging technique and noise creation character allows new algorithms to be developed, which can be implemented on flying platforms to support existing navigation systems in which trajectory error occurs