DocumentCode
2061128
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.
fYear
2005
fDate
17-23 Sept. 2005
Firstpage
1757
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;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS, 2005. Proceedings of MTS/IEEE
Conference_Location
Washington, DC
Print_ISBN
0-933957-34-3
Type
conf
DOI
10.1109/OCEANS.2005.1640010
Filename
1640010
Link To Document