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oahuynew's Projects

array-orientation icon array-orientation

Reconfigurable adaptive linear array signal processing in GNSS applications

array-thinning icon array-thinning

Thinned Array Beampattern Synthesis by Iterative Soft-Thresholding based Optimization Algorithms

imageprocessing-python icon imageprocessing-python

该资源为作者在CSDN的撰写Python图像处理文章的支撑,主要是Python实现图像处理、图像识别、图像分类等算法代码实现,希望该资源对您有所帮助,一起加油。

insar-simulation-and-studies icon insar-simulation-and-studies

干涉合成孔径雷达 相关。Some work I did during my graduate studies (Matlab Code) : (2) InSAR Simulation and Studies.

jasminum icon jasminum

A Zotero add-on to retrive CNKI meta data. 一个简单的Zotero 插件,用于识别中文元数据

matlab_sar icon matlab_sar

A basic MATLAB library to demonstrate reading, writing, display, and simple processing of complex SAR data using the NGA SICD standard.

min-max-radar icon min-max-radar

Reduced-Rank STAP for Slow-Moving Target Detection by Antenna-Pulse Selection

pan-light icon pan-light

百度网盘不限速客户端, golang + qt5, 跨平台图形界面

polsar-calibration icon polsar-calibration

极化合成孔径雷达,极化定标和校准 相关。Some work I did during my graduate studies (Matlab Code) : (3) Polarimetric SAR (PolSAR) Calibration, including (a) the Whitt algorithm, (b) the Quegan algorithm, (c) the Ainsworth algorithm, (d) the PARC algorithm.

pso_tmfo_fda icon pso_tmfo_fda

该项目为了抑制FDA波束方向图的时变特性,提出了一种基于粒子群优化算法的时间调制非线性频偏FDA。根据仿真结果可以说明,该方法可以抑制FDA的时变特性,并且相较于传统时变抑制方法—时间调制频偏和时间调制非线性频偏,得到的波束方向图聚焦性更好。

radar-iet icon radar-iet

Slow Radar Target Detection in Heterogeneous Clutter using Thinned Space-Time Adaptive Processing

sar-synthetic-aperture-radar icon sar-synthetic-aperture-radar

合成孔径雷达 相关。研究生期间学习 SAR/InSAR/PolSAR 相关的代码和总结,毕业后已经离开这个领域了。分享出来,仅此纪念。1)SAR: 成像算法,RD,CS,Radarsat-1数据成像处理。2)InSAR: 人造场景原始回波仿真、成像及干涉处理。包括平地场景和圆锥形场景。3)PolSAR: 极化定标算法,Whitt, PARC, Quegan, Ainsworth。详见 readme.md

simulation-of-sar-imaging-algorithm icon simulation-of-sar-imaging-algorithm

合成孔径雷达成像 相关。Some work I did during my graduate studies (Matlab Code) : (1) Simulation of SAR Imaging Algorithm, including RD and CS.

superpixels-revisited icon superpixels-revisited

Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.

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