应用自组织神经树模型进行森林立地分类研究

SOLUTION FOR THE EXTERIOR ORIENTATION ELEMENTS OF FIRST LINE OF SAR IMAGE WINDOW

利用航空遥感图像获取森林立地因子信息，在ＧＩＳ支持下，以研究区内６９２个地块单元为对象，用自组织神经树模型进行森林立地分类研究，结果表明，该方法分类速度快、精度高、容错能力强，有极好的应用前景。

In this paper, the limitation of introducing pyramid in determining the elements of esterior orientation of image window has been analysed. A practical method by use of ephemeris data to work out exterior orientation elements of first line is proposed, which has been proved by the results of experiment.