基于高分辨率遥感影像数据的FNEA分割算法研究与应用分析

The Study and Application Analysis of FNEA Segmentation Algorithm Based on High Resolution Remote Sensing Image Data

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。

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.