CBERS-2B数据提取平原区细小地物系数的方法探讨

A Method Discussion on the Abstraction of Plain Areas' Exiguous Types Coefficient Using CBERS-2B Image

利用Landsat TM等中等分辨率影像对区域生态环境进行监测与评价时,由于影像分辨率的局限性,仍有许多地物无法解译出来,如农田中的道路、水渠等,文章主要研究了利用图像融合增强和人机交互式解译等技术方法,对CBERS-2B的CCD影像和HR影像进行处理,提取平原区农田中道路面积比系数,从而将农田中未解译的地物扣除。结果表明,CCD影像与HR影像经过融合增强处理后,可以进行平原地区村级及以上道路的提取。

When we monitor and evaluate regional eco-environmental quality by use mid-resolution image,such as Landsat TM,there are many features such as the road and drains in field that can＇t be interpreted due to the resolution of image.In this paper,using image fusion enhancement technique and human-computer interactive interpretation method,authors researched the application of CBERS-2B＇s CCD and HR image in abstracting the road coefficient in plain area farmland area.The results showed that HR image enhanced with CCD may as the data to obtain the county level road and the CBERS-2B＇s CCD and HR image will be used to abstract the exiguous types coefficient.