In conventional ISAR processing, motion compensation usually begins in the range-compressed phase-history domain.
Lossy video coding involves motion compensation, transform and quantization processing, while lossless video coding entails entropy coding.
Real-time data acquisition, processing, motion compensation, and image visualization and saving were implemented on a custom CPU-GPU hybrid architecture.
We implemented a real-time, graphical user interface that controls data acquisition, data processing, motion compensation, and image visualization based on a multi-threaded CPU-GPU hybrid programming architecture.
Thread 2 performed the data processing and motion compensation.
Motion compensation, including range alignment and autofocus processing, is performed to remove the translational motion in advance.
Initial image processing based on motion compensation enables us to track the temperature of any material point at the specimen surface.
Several advanced signal processing techniques, including time-frequency analysis, motion compensation, and range migration compensation (e.g., [8 10]), have been developed for the detection and parameter estimation of moving targets based on their Doppler signatures.
Hence, according to these approaches [12 17], focused ISAR images could be obtained without the necessity of processing long coherent intervals or of applying motion compensation algorithms.
Motion compensation algorithm in [7, 8] employs overlapped block motion compensation (OBMC) and in [9] utilizes adaptive overlapped block motion compensation (AOBMC) to alleviate block artifacts and have better visual quality than OBMC.
