森林覆盖区山地遥感地形校正的方法研究

The Study on Topographic Correction Approach in Forest

基于山地遥感地形校正方法中的STS朗伯体模型和SCS模型,结合TM影像,提出了一种新的森林地形校正方法。该方法引入一个植被覆盖率参数用来估计亚像元中的各成分对辐亮度的影响,同时考虑了像元与像元之间的邻边效应影响。通过与其他现有的一些模型进行实地验证与检验,说明该方法能在一定的程度上解决不同覆盖程度的森林地形校正问题。

The article proposes a new topographic correction approach in analyzing TM images in forest terrain based on the SCS and STS models. This approach introduces a new factor related to forest canopy coverage, which can be used to estimate the influence to radiance by the ingredients in sub-pixel. At the same time, it also considers the impacts between pixels and removes them. After verification through the experiment, also compared with results calculated by some other matured models, this approach is claimed to be more effective than the others in the topographic correction process of forest terrain.