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Research on change detection based on wavelet transformation

机译:基于小波变换的变化检测研究

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Based on comparative analysis of precision and direction selection characteristic of image frequency feature in the course of wavelet transform, combined with important influence factors of sub-space estimatation during independent component analysis — decomposing of image block, the author puts forward two schemes on change detection of remote sensing image by use of wavelet transform, and analyzes application scope and realization difference deeply, and interprets improves results of image change detection by use of two schemes on the basis of theory. Simulation results show that application scope in second scheme is broader than that in first scheme because of parallel algorithm and robustness for massive remote sensing images.
机译:在对小波变换过程中图像频率特征的精度和方向选择特性进行比较分析的基础上,结合独立分量分析—图像块分解中子空间估计的重要影响因素,提出了两种变化检测方案。利用小波变换对遥感影像进行分析,深入分析了其应用范围和实现差异,并在理论基础上采用两种方案解释了改进的影像变化检测结果。仿真结果表明,由于并行算法和对大规模遥感影像的鲁棒性,第二种方案的应用范围比第一种方案的应用范围广。

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