星载C波段与机载P波段全极化SAR影像地物分类方法

The Polarization SAR Image Feature Classification Method Based on Airborne P-band and Spaceborne C-band

目前中国的环境形势十分严峻,对于环境的监测及保护已经成为当务之急。利用合成孔径雷达(SAR)全天候的工作能力,配合星载C波段以及机载P波段的全极化数据信息,对内蒙古根河地区的地物展开分类研究,相比于单波段的分类结果有一定的改善,可以得到较为精确的分类结果,为之后的地理国情以及环境监测提供了有效的支持,也解决了单波段无法充分利用极化信息的弊端,为以后的研究提供资料。

At present, China is facing a very serious environment situation, the environment monitoring and protecting has been a top priority. Synthetic Aperture Radar （Synthetic Aperture Radar, SAR） as a kind of active microwave remote sensing, its ability to mo- nitor M1 daytime and all weather. In this paper, we will use the full information of airborne C - band and spaceborne P - band data to find a better classification result compared to the resuh based on single band, which can help the progress in Geographical conditions monitoring, and also convinces the future research.