A Sparse Representation Method for a Priori Target Signature Optimization in Hyperspectral Target Detection

@article{Wang2018ASR,
  title={A Sparse Representation Method for a Priori Target Signature Optimization in Hyperspectral Target Detection},
  author={Ting Wang and Hongsheng Zhang and Hui Ching Lin and Xiuping Jia},
  journal={IEEE Access},
  year={2018},
  volume={6},
  pages={3408-3424}
}
Many target detectors commonly utilize a single a priori target spectral signature as an input. However, the detection results are greatly affected by the quality of the a priori target spectral signature because the spectral variability phenomenon is universal and anisotropic in hyperspectral image data. This paper proposes a sparse representation-based method to generate an optimized target spectrum from limited target training samples, which is able to alleviate the impact of spectral… CONTINUE READING
0 Extracted Citations
55 Extracted References
Similar Papers

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 55 references

Similar Papers

Loading similar papers…