CAJ | 학술논문

　　背景对目标的干扰是影响红外装备作用距离的重要因素，研究以雾为背景的红外图像中目标的识别方法对红外装备的应用有着重要的意义。突破了传统的红外图像的目标识别方法，通过对雾这种自然纹理的研究，采用小波变换的方法对红外图像提取各个频道上的纹理能量，基于熵空间理论的不同粒度空间分解与合成思想有效实现了以雾为背景的红外图像的纹理分割。
　　배경대목표적간우시영향홍외장비작용거리적중요인소，연구이무위배경적홍외도상중목표적식별방법대홍외장비적응용유착중요적의의。돌파료전통적홍외도상적목표식별방법，통과대무저충자연문리적연구，채용소파변환적방법대홍외도상제취각개빈도상적문리능량，기우적공간이론적불동립도공간분해여합성사상유효실현료이무위배경적홍외도상적문리분할。
The jamming of the background to the target is an important factor affecting the infrared equipment operational range. The research on target recognition method of the infrared image whose background is fog has important implications on the application of infrared equipment. This paper has broken through the traditional recognition method for infrared image target. Through research on the fog texture, one kind of natural texture, we extract texture energy of the infrared image on several frequency bands by continuous wavelet transform(CWT), and we have realized texture segmentation of the infrared image whose background is fog based on decomposition and synthesis theory of different particle size space of entropy space.