Abstract
Shadow detection and tracking (SDT) is the effective method to locate moving targets, which always be shifted or smeared outside the scene, in different images sequence by Synthetic Aperture Radar (SAR). In this process, the detection of shadow is obtained on the first frame image, and the Kernelized Correlation Filter is used to track target among the following SAR images, using the changes between the image sequence. By the experiments and performance analysis, the validity of the proposed algorithm can be demonstrated.
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Acknowledgement
This work was supported by the National Natural Science Foundation of China 61201304 and 61201308, It also thanks for the Aerospace Innovation Foundation.
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Xu, Z., Zhang, Y., Li, H., Mu, H., Zhuang, Y. (2019). A New Shadow Tracking Method to Locate the Moving Target in SAR Imagery Based on KCF. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_322
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DOI: https://doi.org/10.1007/978-981-10-6571-2_322
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