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A Local Contrast Method for Small Infrared Target Detection
Abstract
Robust small target detection of low signal-to-noise ratio (SNR) is very important in infrared search and track applications for self-defense or attacks. Consequently, an effective small target detection algorithm inspired by the contrast mechanism of human vision system and derived kernel model is presented in this paper. At the first stage, the local contrast map of the input image is obtained using the proposed local contrast measure which measures the dissimilarity between the current location and its neighborhoods. In this way, target signal enhancement and background clutter suppression are achieved simultaneously. At the second stage, an adaptive threshold is adopted to segment the target. The experiments on two sequences have validated the detection capability of the proposed target detection method. Experimental evaluation results show that our method is simple and effective with respect to detection accuracy. In particular, the proposed method can improve the SNR of the image significantly.
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Citations
Cited by
Infrared Small Target Detection Based on Partial Sum of the Tensor Nuclear Norm
Zhang, L., & Peng, Z. (2019) · Remote Sensing · doi:10.3390/rs11040382 · Cited by 759
ISNet: Shape Matters for Infrared Small Target Detection
Zhang, M., Zhang, R., Yang, Y., Bai, H., Zhang, J., & Guo, J. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.00095 · Cited by 721
A Robust Infrared Small Target Detection Algorithm Based on Human Visual System
Han, J., Ma, Y., Zhou, B., Fan, F., Liang, K., & Fang, Y. (2014) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2014.2323236 · Cited by 538
Wang, H., Zhou, L., & Wang, L. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00860 · Cited by 486
Zhang, T., Li, L., Cao, S., Pu, T., & Peng, Z. (2023) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2023.3238703 · Cited by 486
Metadata
- Authors
- Chen, C. L. P., Li, H., Wei, Y., Xia, T., & Tang, Y. Y.
- Venue
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 2014-01
- Volume
- 52
- Issue
- 1
- Pages
- 574-581
- ISSN
- 0196-2892 (ISSN-L)
- 1558-0644
- OpenAlex
- W2041560658
- Cited by
- 1,351
- References
- 0
- FWCI
- 34.30
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chen, C. L. P., Li, H., Wei, Y., Xia, T., & Tang, Y. Y. (2014). A Local Contrast Method for Small Infrared Target Detection. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/tgrs.2013.2242477
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