slcimg = rangeMigrationLFM(raw,waveform,fc,v,rc) returns a single-look complex image of raw synthetic aperture radar (SAR) data obtained with a linear frequency modulated (LFM) pulse waveform. The function uses the range migration algorithm. example slcimg = rangeMigrationLFM(raw,waveform,fc,...
slcimg = rangeMigrationFMCW(raw,waveform,fc,v,rc) returns a single-look complex image of raw synthetic aperture radar (SAR) data obtained with a frequency modulated continuous wave (FMCW) waveform. The function uses the range migration algorithm. slcimg = rangeMigrationFMCW(raw,waveform,fc,v,...
A Python3 port of the Range Migration Algorithm (RMA) to generate Synthetic Aperture Radar (SAR) images. - IanBoyanZhang/radar_sar_rma
Convergence was judged by arriving at the plateau of the acceptance threshold ε in the ABC-SMC algorithm, see Figure S4. The following point estimate for the fitted model parameters and their confidence intervals were obtained (Figure S6A): The parameter advection_velocity was used to overlay a...
For networks with a low connectivity of 3.5, we developed a program in MATLAB R2018b, implementing the conjugate gradient algorithm. The program was tested by applying it to the simulations identical to the ones done in Abaqus and verifying identical results. We perform simulations of a cell ...
Discussed the synthetic aperture radar imaging principle, Range Doppler algorithm, combined with the characteristics of echo data, we get the matlab program of the RD algorithm and the imaging simulation on this basis. 本文工作主要归纳为:(1)研究了合成孔径雷达的回波成像原理和多普勒成像算法,结合回波...
One was matching the splines of northern stable Adria and the Transdanubian Range Unit; the other computed the angle from the respective declinations with MATLAB minimum searching algorithm. Both methods provided a correction value of 30° to be applied to the Mesozoic declinations for the Trans...
We applied the constrained regularized smoothing algorithm presented in Schwanghart and Scherler (2017) to select the optimal parameter called tol, which stands for tolerance. This parameter is an important variable helping to increase the accuracy of knickpoint detection and mitigating the effects of ...
In 2013, scholars proposed a coordinate descent algorithm to solve the optimization problem implemented by the quasi-Newton algorithm and improved the entropy minimization method under a low signal-to-noise ratio [4]. In 2015, scholars proposed a fast MEA method based on Newton’s method to ...
In this section, the results of the point target simulation and the experimental results of the raw data are given and analyzed to evaluate the performance of the proposed algorithm. The algorithms for both simulation and raw data experiments are programmed on a MATLAB platform and Windows 10 sys...