A Wavelet Neural Network for SAR Image Segmentation
AbstractThis paper proposes a wavelet neural network (WNN) for SAR image segmentation by combining the wavelet transform and an artificial neural network. The WNN combines the multiscale analysis ability of the wavelet transform and the classification capability of the artificial neural network by setting the wavelet function as the transfer function of the neural network. Several SAR images are segmented by the network whose transfer functions are the Morlet and Mexihat functions, respectively. The experimental results show the proposed method is very effective and accurate.
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Wen, X.-B.; Zhang, H.; Wang, F.-Y. A Wavelet Neural Network for SAR Image Segmentation. Sensors 2009, 9, 7509-7515.
Wen X-B, Zhang H, Wang F-Y. A Wavelet Neural Network for SAR Image Segmentation. Sensors. 2009; 9(9):7509-7515.Chicago/Turabian Style
Wen, Xian-Bin; Zhang, Hua; Wang, Fa-Yu. 2009. "A Wavelet Neural Network for SAR Image Segmentation." Sensors 9, no. 9: 7509-7515.