An ANN based hyperspectral waterway control and security system

B. Priego, Daniel Souto, F. Peña, R. Duro
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引用次数: 2

Abstract

In this paper we report on some of the current advances in the development of Hywacoss (Hyperspectral waterway control and security system). The objective of the Hywacoss project is to produce a real time small, light and easy to transport visible and near infrared hyperspectral detection and recognition system that autonomously monitors waterways, especially port and bay areas, and detects and classifies all the traffic, producing alerts when previously unknown objects or behavior patterns arise. Obviously, Hywacoss involves dedicated hardware and software modules, some of them based on computational intelligence methods. Here we will provide a global description of the system and a detailed analysis of some of its modules, in particular those related to hyperspectral image segmentation and the Artificial Neural Network based spectral-geometrical identification and profiling subsystems.
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基于人工神经网络的高光谱航道控制与安全系统
本文介绍了高光谱航道控制与安全系统(Hywacoss)的发展现状。Hywacoss项目的目标是生产一个实时的小、轻、易于运输的可见和近红外高光谱检测和识别系统,该系统可以自动监控水道,特别是港口和海湾地区,并检测和分类所有交通,当以前未知的物体或行为模式出现时产生警报。显然,Hywacoss涉及专用的硬件和软件模块,其中一些基于计算智能方法。在这里,我们将提供系统的全局描述和对其一些模块的详细分析,特别是与高光谱图像分割和基于人工神经网络的光谱几何识别和分析子系统相关的模块。
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