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In this paper, a fast and effective scene raw data simulator is developed based on the effectual access of 2-D FS with high precision and quantificational analysis and correction of phase space variance of it.
Creating an accurate synthetic data simulator is really hard.
Tobin says, Creating an accurate synthetic data simulator is really hard.
Currently, there are no compromises on the exact metrics of a SAR raw data simulator evaluation.
A SAR raw data simulator is an important tool for testing system parameters, imaging algorithms, and mission planning.
Let us note that there is no efficient SAR raw data simulator that can fulfill such different scenario requirements.
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Margarit et al. published a series of SAR raw data simulators regarding the polarimetry [21], interferometry, simulation of extended sea scenes [22], and analysis of urban areas [23].
However, there are only a few data simulators that provide structural variants in silico and even fewer that provide variants with different allelic fraction and haplotypes.Findings: We developed SVEngine, an open source tool to address this need.
The need for GPS data simulators have become important due to the tremendous growth in the design of versatile GPS receivers.
Many early-stage startups are solving their cold start problem by creating data simulators to generate contextually relevant data with quality labels in order to train their algorithms.
Based on those application areas, the SAR data simulators can be classified into two groups [1]: the image-oriented simulators [2 5] for the applications like mission planning, automatic target recognition, or georegistration of SAR images and signal-oriented simulators [6 9] for algorithm design.
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