ITM Web Conf.
Volume 7, 20163rd Annual International Conference on Information Technology and Applications (ITA 2016)
|Number of page(s)||4|
|Section||Session 2: Signal and Image Processing|
|Published online||21 November 2016|
Ship Targets Discrimination Algorithm in SAR Images Based on Hu Moment Feature and Texture Feature
Naval Aeronautical and Astronautical University, Yantai 264001, China
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To discriminate the ship targets in SAR images, this paper proposed the method based on combination of Hu moment feature and texture feature. Firstly,7 Hu moment features should be extracted, while gray level co-occurrence matrix is then used to extract the features of mean, variance, uniformity, energy, entropy, inertia moment, correlation and differences. Finally the k-neighbour classifier was used to analysis the 15 dimensional feature vectors. The experimental results show that the method of this paper has a good effect.
© Owned by the authors, published by EDP Sciences, 2016
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