摘要
如何使得经过有损压缩后的图像仍然保持一定的自动目标识别性能是一个非常有意义的问题。目前国外对这一问题的研究有了一定的进展,研究的内容集中在以下三个方面:(1)图像压缩对于ATR性能的影响;(2)面向ATR应用的图像质量测度;(3)面向ATR应用的图像压缩算法研究。本文针对这一问题的研究进行了较全面的综述,着重分析了几种重要算法的原理、实现和性能,并探讨了未来的研究方向。
How to compress images while preserving their auto target recognition performance is an important problem. Until recently the research on this problem in the foreign country has made some progress, and the research is focused on the following issues： （1） the compact of image compression on ATR performance; （2） the image quality measure for ATR application; （3） the image compression algorithm for ATR application. This paper summarizes research progress on this problem. The principles, implementations and performance of several representative algorithms are thoroughly analyzed. The research trend on this field is also given.
出处
《信号处理》
CSCD
北大核心
2006年第6期844-848,共5页
Journal of Signal Processing
关键词
自动目标识别
图像压缩
图像质量测度
auto target recognition
image compression
image quality measure
