基于cnn的土壤三维热模拟用于杀伤人员地雷探测

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI:10.1109/CNNA.2002.1035065

P. López, D. L. Vilariño, D. Cabello

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引用次数: 16

摘要

CNN的定义方程和传热的定义方程之间的内在相似性是众所周知的。在本文中，我们探讨了三维热模型的土壤在这种结构上的投影。这样，就可以对已知边界条件下土壤的热力学行为进行可靠和快速的预测。这样，就有可能根据其热特征来描述不同种类的土壤。基于这些知识，并使用反向方法，我们执行了埋藏地雷的探测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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CNN-based 3D thermal modeling of the soil for antipersonnel mine detection

The inherent analogies between the defining equation of CNN and that of heat transfer are well known. In this paper, we explore the projection of a 3D thermal model of the soil on this kind of structure. In so doing, reliable and fast prediction of the thermodynamic behavior of soil subject to known boundary conditions can be obtained. That way, it is possible to characterize different kinds of soil in terms of its thermal signature. Based on that knowledge, and using an inverse approach, we perform the detection of buried land mines.

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Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications

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