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基于实物分类统计法的森林变化监测研究
Monitoring Research of Forest Change Based on Real Object Classification Statistical Method
【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。
【Abstract】 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.
【关键词】 变化监测;
森林;
图像分割;
遥感影像;
实物;
【Key words】 change monitoring; forest; image segmentation; remote sensing image; object;
【Key words】 change monitoring; forest; image segmentation; remote sensing image; object;
- 【文献出处】 地矿测绘 ,Surveying and Mapping of Geology and Mineral Resources , 编辑部邮箱 ,2008年01期
- 【分类号】S757.2
- 【被引频次】2
- 【下载频次】147