摘要
以延安市及环城地区为例,探讨了提取绿地信息的遥感(RS)数字图像处理最佳方法。对研究区遥感图像进行了波段组合、对比度拉伸、几何纠正,并对3种图像增强方法(密度分割、差值运算、植被指数)进行了比较,对植被指数图像进行了无监分类处理。结果表明,图像几何纠正时地形复杂地区应选取更多的控制点,一般为理论值的6倍;植被指数为该区绿地信息提取的理想方法,通过对此图像进行无监分类,可以得到比较理想的绿地面积信息。
Taking the urban and rural areas of Yan'an city as an example, this paper focuses on obtaining green lands information based on RS. Several methods such as geometric correction, band combination, contrast stretch, density slicing, minus operation, normalized different vegetation index(NDVI) are used in data processing. The results show that much more control points should be obtained in the areas with complex terrain during the geometric correction, and generally it is six times higher than that in theory. NDVI is an ideal method for extracting greenland information from the image of the area, and further unsupervised classification is used to obtain better area information from it.
出处
《西北林学院学报》
CSCD
北大核心
2003年第2期91-94,共4页
Journal of Northwest Forestry University
基金
国家科学技术部农业科技专项研究项目(98 11 10 11)
