SAR Images Target Recognition Based on Wavelet and KSVD
Lei Liu, Xiang-Wei Meng, Zhao-Gen Zhong, Ke-Yuan Yu
Available Online December 2016.
- https://doi.org/10.2991/icwcsn-16.2017.70How to use a DOI?
- synthetic aperture radar(SAR); feature extraction; target recognition; kernel singular value decomposition(KSVD); wavelet
- Ship targets recognition algorithm based on wavelet domain Kernel Singular Value Decomposition(KSVD) feature extraction was proposed to deal with the problem of ship targets recognition in SAR images. Low-frequency sub-band image is obtained by two-dimension discrete wavelet decomposition of a SAR image. Then it acquires the nonlinear algebraic feature of SAR images by performing KSVD. Support vector machine is used to perform target recognition.The method is applied for recognizing three-class ship targets and the average recognition arrives at 93.89%. It is concluded that the method proposed in this paper is an effective method for SAR images feature extraction and target recognition.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Lei Liu AU - Xiang-Wei Meng AU - Zhao-Gen Zhong AU - Ke-Yuan Yu PY - 2016/12 DA - 2016/12 TI - SAR Images Target Recognition Based on Wavelet and KSVD PB - Atlantis Press SP - 323 EP - 326 SN - 2352-538X UR - https://doi.org/10.2991/icwcsn-16.2017.70 DO - https://doi.org/10.2991/icwcsn-16.2017.70 ID - Liu2016/12 ER -