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- W3193197360 abstract "In training-free Synthetic Aperture Radar (SAR) target detection, it is difficult to distinguish targets and non-targets accurately. To solve the problem, a new improved NCM clustering method with one clustering center (K=1), as called NCM-1K clustering method, is proposed in this paper. The principle of NCM-1K is to divide the potential target areas into target areas and non-target areas according to the Polar Scale-Invariant Feature Transform (PSIFT) descriptor. The proposed NCM-1K clustering method can realize the SAR target detection with free-training. Experimental results verify the feasibility and effectiveness of proposed method." @default.
- W3193197360 created "2021-08-16" @default.
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- W3193197360 date "2021-05-23" @default.
- W3193197360 modified "2023-09-26" @default.
- W3193197360 title "SAR Target Detection Based on NCM-1K Clustering" @default.
- W3193197360 cites W1990085820 @default.
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- W3193197360 doi "https://doi.org/10.1109/iws52775.2021.9499650" @default.
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