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波段组合的解析几何分析 被引量:2

Geometric Characteristics and Mechanism Analysis of Band Combinations
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摘要 对波段实施组合运算是遥感数据分析中广泛使用的方法。但如何选择最佳波段,确定最佳波段组合则是波段组合分析中存在的两大关键问题。本文使用投影线与等值线的概念分析了在以两个波段的数值作为数轴的二维平面空间里各种波段算术组合(加、减、乘、除、平方和等五大种类)的几何特征,揭示出波段组合的内在机理。只要有工作区的少量地物类型的先验数据,根据它们的分布特征就能确定出应该使用何种组合。根据等值线是否能从非特征目标背景中最有效地区分出特征目标,得出最佳波段。再根据等值线在投影线上的相截区域是否能最有效地增强特征目标信息和抑制非特征目标信息确定出最佳波段组合。通过选择内蒙古地区TM磁带数据的应用分析,我们认为这是一种行之有效的方法。至于多于二个波段的组合机理尚待进一步分析研究。 It is a widely used approach to perform band combinations in analysis of remotely sensed data. However, how to select best bands and how to determine best band combinations, are two key problems in band combination analysis which have not solved yet. One of major reasons is lack of deep understanding to band combination mechanism. Concepts of projective line and isopleth are used in this paper to analyze the geometric characteristics of each band arithmetic combination (such as addition, subtraction, multiplication, division and square sum etc.) in two dimension plane space so as to reveal intrinsic mechanism of band combination. Provided a little amount of ground feature data are available, band conbination scheme can be determined according to data distribution characteristics (i.e. positive or negative distribution). Also, best bands can be determined depending upon whether the isopleth could most efficiently distinguish characteristic objects from non-characteristic objects background or not. Then, best band combinations can be determined according to whether projective area of sopleth could most efficiently enrance characteristic object information and suppress non-characteristic object information or not. It is proved through the case study by analysis of Thematic Mapper CCT data in Inner Mongolia, (China) that the approach discussed in this paper is practical and efficient. As to combination mechanism of more than two bands, further analysis is expected.
机构地区 南京大学地理系
出处 《环境遥感》 CSCD 1990年第2期150-157,共8页
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