合成孔径雷达影象提取雪盖信息研究

The Method Study of Snow-cover Mapping with SAR Image

在分析合成孔径雷达（ＳＡＲ）成象机理及雪盖参数散射特性的基础上，利用航天飞机承载的成象雷达（ＳＩＲ—Ｃ）获取的多波段、多极化ＳＡＲ数据，进行提取雪盖信息的实验。结果表明Ｃ波段ＨＨ、ＶＶ影象能很好地区别湿雪与非雪盖区，而区分干雪与岩石较困难；Ｌ波段ＨＨ、ＶＶ影象较容易将雪盖同其它物体区分开；Ｃ、Ｌ波段的交叉极化ＨＶ、ＶＨ区分干雪与岩石效果很好。故利用多波段、多极化ＳＡＲ进行雪盖制图是可行的。

According to the imaging principle of Synthetic Aperture Radra and dack-scattering characteristics of snow, authors examined the capability of snow-cover mapping with multifrequency and multipolarized SAR images from SIR-C carried by shuttle. The result shows that C-band HH and W images can be used to discriminate between wet-snow and snow-free area, but there is a prolem to separate rock from dry snow; L-band HH and VV images are easily to separate snow-cover area from others; and cross-polarized SAR images of C L-bands can be used to discriminate betWeen dry-snow and rock. So it is possible to map snowcover using SAR data.