Improvement of the land cover division techniquewith a synthetic aperture radar in the tropical area

在这项研究中，我分类的热带土地覆盖分布与ALOS的PALSAR数据，我在外地工作的地面真相，以检查的准确性。因此，从PALSAR数据，我不能执行分类等于光学卫星图像，虽然一些土地覆盖分类是可能的。这就是为什么在对光学图像进行分析时，可以清楚地检测到土地覆盖，无论是森林还是其他与可见光和近红外光的区别。另一方面，利用体积离散度的结果，通过PALSAR分析来检测森林。但是PALSAR分析有很多散射干扰，例如田间犁沟的方向性。

In this study, I classified the tropical land cover distribution with PALSAR data of the ALOS and I worked at the field for the ground truth in order to inspect the accuracy. As a result, from PALSAR data, I was not able to perform the classification equal to optical satellite imagery although some land cover classification was possibility. This is why the land cover is detected clear whether forest or other distinction from visible and near-infrared light when the optical imagery was analyzed. In the other hand, forest is detected by analyzed with PALSAR using the result of volume dispersion. But the PALSAR analysis has much disturbance of scattering, for example the directionality of the furrow in the field.