Towards real-time detection of landmines in FLIR imagery

信号处理 Pub Date : 2001-08-06 DOI:10.1109/SSP.2001.955245

M.R. Ito, Sinh Duong, J. McFee, K. Russell

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引用次数: 3

Abstract

A pipelined algorithm and parallel architecture is under development for real time detection of landmines. Our previous work has dealt with monochromatic images from airborne active infrared scanners and images from a low-altitude aircraft-mounted multi-spectral scanner. Because of the nature of the sensors and the aerial observation platform, the landmines were treated as small, sparse, discrete objects in a large clutter field. Our current work deals with passive infrared imagery obtained from cameras mounted on ground vehicle. In contrast to the previous work, although the targets are still relatively sparse, they are no longer small in the sense of occupying just a few pixels and the signal to noise ratio is considerably worse than in for the airborne active infrared and multi-spectral scanner problems. So significant changes to our detection algorithm are needed. The paper describes the overall algorithm and the particular issues, such as irregular shapes, that need to be dealt with in FLIR imagery. Some early results are presented. In addition, changes in computer processing power and interprocessor communications has led to a rethink of the real-time hardware implementations of the system and these issues are discussed.

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面向前红外图像中地雷的实时探测

一种用于地雷实时探测的流水线算法和并行结构正在开发中。我们之前的工作处理了机载主动红外扫描仪的单色图像和低空飞机上安装的多光谱扫描仪的图像。由于传感器和空中观测平台的性质，地雷被视为大杂波场中的小、稀疏、离散目标。我们目前的工作是处理从安装在地面车辆上的摄像机获得的被动红外图像。与以往的工作相比，虽然目标仍然相对稀疏，但它们在仅占几个像素的意义上不再小，并且信噪比明显低于机载主动红外和多光谱扫描仪问题。所以我们需要对我们的检测算法做出重大改变。本文描述了整个算法以及在FLIR图像中需要处理的特殊问题，如不规则形状。提出了一些初步结果。此外，计算机处理能力和处理器间通信的变化导致了对系统的实时硬件实现的重新思考，并讨论了这些问题。

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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来源期刊

信号处理

自引率

0.00%

发文量

5812

期刊介绍： Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.