CAJ | 학술논문

近年来,随着遥感技术和信息技术的发展,遥感影像空间分辨率也大大提高。基于像素的传统影像处理方式已经不能满足现实需求,面向对象的遥感影像分析已成趋势。因此,图像分割技术是进行其他图像处理与分析之前的关键步骤,分形网络演化多尺度分割算法（FNEA）是面向对象分析的核心。本文详细阐述了基于FNEA的多尺度分割算法的思想和流程,并结合遥感影像进行了分割实验与参数分析,对高分辨率遥感影像的研究与应用有一定指导意义。
근년래,수착요감기술화신식기술적발전,요감영상공간분변솔야대대제고。기우상소적전통영상처리방식이경불능만족현실수구,면향대상적요감영상분석이성추세。인차,도상분할기술시진행기타도상처리여분석지전적관건보취,분형망락연화다척도분할산법（FNEA）시면향대상분석적핵심。본문상세천술료기우FNEA적다척도분할산법적사상화류정,병결합요감영상진행료분할실험여삼수분석,대고분변솔요감영상적연구여응용유일정지도의의。
In recent years, with the development of remote sensing and information technique, the spatial resolution of remote sensing image is greatly improved. Conventional image processing method based on pixel cannot meet the requirement of reality, object orien- ted remote sensing image process is now turning into a trend. Therefore, image segmentation technique is a key step before other image processing and analysis, and FNEA is the core of object oriented image analysis. This paper explores in detail the thought and work- flow of multi -segmentation algorithm based on FNEA, analyses the segmentation experiment and parameter, and is significant in di- recting the research and application of high resolution remote sensing image.