Frame rate computing and aggregation measurement toward QoS/QoE in Video-SAR systems for UAV-borne real-time remote sensing

This research aims to introduce some new findings toward multimedia and communication aspects of Video-SAR imaging systems. The first suggestion is a modified frame rate computation considering all systematic design, signal, and data processing characteristics. In addition to the conventional radar models, we propose new conditions on how to take the multimedia requirements into account to respond to the radar and multimedia demands simultaneously. Since Video-SAR is eventually used by an end user, the Video-SAR designers must follow the temporal resolution requirements through the frame rate for both aspects of radar and multimedia systems. To do this, an integrated procedure is suggested to include all the required conditions. The second finding of this research is focused on the issue of data aggregation and multisource compression in Video-SAR. The proposed approach is an upper bound for aggregation ability of all the data hiding-based aggregators. This bound is found with using measurement of unoccupied space in the host image/frame. Besides, some numerical examples are provided to explain the computation of frame rate while there are different scenarios in a practical Video-SAR system. Also, we compute the unoccupied space for a radar frame compared to an optical sample to reveal the inherent characteristics of the Video-SAR data.