基于核函数度量相似性的遥感影像变化检测
A Kernel-based Similarity Measures for Change Detection in RS Images
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摘要: 提出了一种基于核函数度量相似性的遥感影像变化检测算法。该算法通过比较两个时相特征向量的概率密度进行变化判别,将概率密度的比较转化成核函数的形式,利用核函数的相似度量功能进行变化判别,通过指定的核函数避开概率密度的估计,达到概率密度比较的目的。Abstract: A kernel-based change detection approach in remote sensing images is presented.This algorithm detects change by comparing the probability density(PD) of the feature vector of bi-temporal images.The PD comparison is expressed as kernel functions;and change is detected using a kernel-based similarity measuring.PD is compared by defined kernel functions without PD estimation.
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