航空与卫星影像数据多尺度分割对比研究

Study on Multi-scale Segmentation of High Resolution Aerial and Satellite Images

本文从遥感影像多尺度分割的角度分析了同一地区的航片与QuickBird、IKONOS等卫星数据的分割效果,讨论了不同地物和不同影像的最佳分割尺度,以增强对目标物的检测与识别能力,提高现有航空遥感数据及卫星影像数据应用的精度和效率,并对最终分类结果进行了比较。结果表明航片、QuickBird、IKONOS的最佳分割尺度分别为125、100、75,QuickBird的分类精度最高,航片和IKONOS的分类精度次之。因此可认为,航片在实际应用中,可以代替高分辨率卫星影像。

This article analyses the aerial image, QuickBird and IKONOS images which cover the same area in the view of multi-scale segmentation ,then discusses the different segmental effects under different segmental scales in different images. To boost up the recognizing ability, and to advance the precision and efficiency of the applications with aerial image and satellite image data, we discuss the best segmental scale to different objects and different images, and compare the final classification result. The result indicates the best segmental scale for aerial image, QuickBird and IKONOS image is 125,100 and 75 respectively. The classification precision of QuickBird is the best. Aerial image and IKONOS image＇s classification precision is approximate. So in the practical application, we can use aerial image to replace high resolution satellite images.