论文部分内容阅读
本文探讨了利用计算机分析MSS数据在新疆天山北坡进行草地分类和制图的方法。在研究草地卫星光谱特征和各种地类光谱可分性的基础上,通过选择不同高度地带上的地物类型,分地带分类,分出42种类型,其中有27种草地类型。检验表明,86％地类的分类精度在80％以上,草地分类深度达到亚类和组级。用计算机成图方法将分类结果绘制成1:10万草地类型图,速度比人工成图提高200—300倍。本文还研究了通过扫描数字化等高线图建立数字地形模型的方法。利用数字地形模型改善山区草地分类精度,取得了良好的效果。
This paper discusses the method of computerized MSS data classification and mapping of grassland on the northern slope of Tianshan Mountains in Xinjiang. Based on the study of the spectral characteristics of grassland satellite and the spectral separability of various ground types, 42 types of grassland were divided into different types according to the types of ground objects on different altitudes, of which 27 were grassland types. The test shows that the accuracy of classification of 86% of the earth types is above 80%, and the depth of classification of the grasslands reaches the class and group level. Using computer mapping method, the classification results are drawn into 1: 100000 grassland type maps, which is 200-300 times faster than the artificial mapping. This paper also studies how to create a digital terrain model by scanning the digitized contour map. Using digital terrain model to improve the accuracy of mountain grassland classification, and achieved good results.