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Image understanding research for automatic target recognition

机译:用于自动目标识别的图像理解研究

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摘要

Automatic target recognition (ATR) is an important capability for defense applications. Many aspects of image understanding (IU) research are traditionally used to solve ATR problems. The authors discuss ATR applications and problems in developing real-world ATR systems and present the status of technology for these systems. They identify several IU problems that need to be resolved in order to enhance the effectiveness of ATR-based weapon systems. They conclude that technological gains in developing robust ATR systems will lead to significant advances in many other areas of applications of image understanding.
机译:自动目标识别(ATR)是国防应用的一项重要功能。传统上,图像理解(IU)研究的许多方面都用于解决ATR问题。作者讨论了开发实际ATR系统时ATR的应用和问题,并介绍了这些系统的技术状况。他们确定了需要解决的一些IU问题,以增强基于ATR的武器系统的有效性。他们得出的结论是,开发强大的ATR系统的技术进步将导致图像理解应用的许多其他领域取得重大进步。

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