Measuring the complexity of the ocean floor

被引：0

作者：

Sams, T. ^{[1
]}

Stage, B. ^{[1
]}

Agerkvist, F.T. ^{[1
]}

Christensen, T. ^{[1
]}

机构：

[1] Danish Defence Research, Establishment, Copenhagen, Denmark

来源：

Neural Networks for Signal Processing - Proceedings of the IEEE Workshop | 2000年 / 2卷

关键词：

Backpropagation - Image analysis - Learning algorithms - Neural networks - Oceanography - Sonar;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The complexity of the ocean floor was classified using neural network based algorithms. The neural network uses the mean square of the sonar images and the predicted images to measure image complexity. The linear predictors perform better than neural network for sonar image.

引用

页码：576 / 583

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