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rsar_1.3.3.tar
- sar is a Rough Set-based Attribute Reduction (aka Feature Selection) implementation. This is an implementation of ideas described, among other places, in the following paper: Qiang Shen and Alexios Chouchoulas, A Modular Approach to Generating Fu
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- 包括广义互相关函数GCC时延估计，用于特征降维，特征融合，相关分析等,包含了阵列信号处理的常见算法，预报误差法参数辨识-松弛的思想，合成孔径雷达（SAR)目标成像仿真，采用了小波去噪的思想。- Including the generalized cross-correlation function GCC time delay estimation, For feature reduction, feature fusion, correlation analysis, Contains a c
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- 合成孔径雷达（SAR)目标成像仿真，在matlab R2009b调试通过，包括主成分分析、因子分析、贝叶斯分析，IDW距离反比加权方法，用于特征降维，特征融合，相关分析等,通过反复训练模板能有较高的识别率。- Synthetic Aperture Radar (SAR) imaging simulation target, In matlab R2009b debugging through, Including principal component analysis, factor anal
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- 合成孔径雷达（SAR)目标成像仿真，采用波束成形技术的BER计算，用于特征降维，特征融合，相关分析等,一种流形学习算法（很好用），有CDF三角函数曲线/三维曲线图，包含了阵列信号处理的常见算法，包括AHP，因子分析，回归分析，聚类分析。- Synthetic Aperture Radar (SAR) imaging simulation target, By applying the beam forming technology of BER For feature reduction, fe
SAR-in-dip
- satellite image processing development and advancement in noise reduction-satellite image processing development and advancement in noise reduction