摘要
遥感已广泛应用于森林动态监测,遥感影像实物分类统计法为森林覆盖动态监测提供了可能。基于此,提出了一种基于实物分类统计法的森林变化监测方法,该方法综合图像分割技术、图像动态变化分析技术和多光谱随机信号处理技术,通过统计手段,可以对地面实物进行区分,从而达到森林动态监测的目的。
Remote sensing has being applied broadly to forest dynamic monitoring, real object classification statistical method offers the feasibility for forest cover dynamic monitoring. Based on this, this paper brings forward a kind of monitoring method of forest cover based on real object classification statistic. The method colligates image segmentation, image dynamic analytic and multi-spectrum random signal processing technique ; it may differentiate the surface to arrive at the goal of forest dynamic monitoring.
出处
《地矿测绘》
2008年第1期9-11,共3页
Surveying and Mapping of Geology and Mineral Resources
关键词
变化监测
森林
图像分割
遥感影像
实物
change monitoring
forest
image segmentation
remote sensing image
object
作者简介
吴杭艳（1979-），女，云南大理人，硕士研究生，主要从事3S综合集成的应用研究。
