Title :
Ocean surface feature extraction and targets detection from SAR images using neural network
Author :
Nie, Mingxin ; Lu, Ling
Author_Institution :
Wuhan Univ. of Technol.
Abstract :
In this paper, a novel system is presented for the targets detection from synthetic aperture radar (SAR) images of ocean. The proposed system consists of two neural networks. The first network cluster the extracted target fractal feature vectors in smaller sub-portions of the image, and the second GA RBF network integrates the information from the first network to determine the presence or absence of a target in the entire image
Keywords :
feature extraction; geophysical signal processing; object detection; oceanographic techniques; oceanography; remote sensing by radar; synthetic aperture radar; target tracking; SAR images; fractal feature vectors; neural network; ocean surface feature extraction; synthetic aperture radar; target detection; Artificial neural networks; Data mining; Feature extraction; Fractals; Neural networks; Object detection; Oceans; Radar detection; Sea surface; Synthetic aperture radar;
Conference_Titel :
OCEANS, 2005. Proceedings of MTS/IEEE
Conference_Location :
Washington, DC
Print_ISBN :
0-933957-34-3
DOI :
10.1109/OCEANS.2005.1640010
