基于EMD和改进的局部熵的红外小目标检测
摘要
Image entropy and empirical mode decomposition (EMD) are effective methods for target detection. EMD algorithm is a powerful tool for adaptive multiscale analysis of nonstationary signals. A new technique based on EMD and modified local entropy is proposed in small target detection under sea-sky background. With the EMD algorithm, it is valid to estimate the background and get the target image by removing the background from the original image and segmenting the target based on the modified local entropy method. The data analysis and experiments show the validity of the proposed algorithm.
引用本文（GB/T 7714）
He Deng, Jianguo Liu, Zhong Chen. 基于EMD和改进的局部熵的红外小目标检测[J]. Chinese Optics Letters, 2010.
引文网络
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