摘要
黄土高原地形破碎,基于地物光谱特征的计算机分类往往不能满足精度需求,必须依靠由地理信息系统提供的辅助数据来提高分类精度。本文在遥感图像处理软件ERDASIMAGINE的支撑下,利用监督分类方法研究了坡度图在土地利用信息提取中的应用。结果表明,坡度图辅助土地利用信息提取能获得较好的效果,其总精度提高了16.41%。
Because of complex terrains in the loss plateau, it is difficult to get higher precision of remote sensing images classification only depending on the automatic classification based on the spectral characteristics. In order to improve the precision, the study that the application of the slope mapping to the soil and water loss information on the Loess Plateau with the support of software ERDAS IMAGINE was carried out. Result indicated that a higher precision could be available with the help of slope mapping.
出处
《干旱地区农业研究》
CSCD
北大核心
2004年第4期184-187,197,共5页
Agricultural Research in the Arid Areas
基金
中国科学院知识创新工程重要方向项目"水土保持与生态环境建设的区域环境效应研究"
