Infrared Small Target Detection Based on Prior Weighed Sparse Decomposition
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7549-5_11
Reference19 articles.
1. Dai, Y., Wu, Y., Song, Y., Guo, J.: Non-negative infrared patch-image model: robust target-background separation via partial sum minimization of singular values. Infrared Phys. Technol. 81, 182–194 (2017)
2. Dai, Y., Wu, Y., Zhou, F., Barnard, K.: Asymmetric contextual modulation for infrared small target detection. In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 950–959 (2021)
3. Deshpande, S.D., Er, M.H., Venkateswarlu, R., Chan, P.: Max-mean and max-median filters for detection of small targets. In: Signal and Data Processing of Small Targets 1999, vol. 3809, pp. 74–83. SPIE (1999)
4. Gao, C., Meng, D., Yang, Y., Wang, Y., Zhou, X., Hauptmann, A.G.: Infrared patch-image model for small target detection in a single image. IEEE Trans. Image Process. 22(12), 4996–5009 (2013)
5. Han, J., et al.: Infrared small target detection based on the weighted strengthened local contrast measure. IEEE Geosci. Remote Sens. Lett. 18(9), 1670–1674 (2020)
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