多源遥感影像数据的尺度整合方法

Scale Integration Method of Multi-source Remote Sensing Imagery

遥感影像数据越来越多源化,对不同尺度的遥感数据进行整合是遥感影像数据管理的基础性工作。本文提出了两种数据整合的方式:“紧”整合和“松”整合,实现了不同尺度数据的关联,可以为不同尺度的遥感数据的尺度整合、数据融合提供依据,也可为遥感建模提供数据支持,并以北京市区的遥感影像为例,为多源数据的尺度整合提供了范例。

With the development of multl-source remote sensing imagery, the integration of different scale remote serving imagery has become a basic work of remote sensing imagery management. This paper presents two kinds of data integration method： tight integration and loose integration, which make the combination of different scale data have become reality. The integration method can be used to scale integration and data fusion of different scale remote sensing imagery. At the same time, it can provide proper data source for remote sensing modeling. A ease study is selected in the urban area of Beijing in this paper.