Application of large scale multi-source remote sensing data and system implementation

被引：0
|
作者：
Li H.-Y. [1 ,2 ]
Tang P. [1 ]
Ding L. [3 ]
Shan X.-J. [1 ]
机构：
[1] Remote Sensing Image Processing Division, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing
[2] University of Chinese Academy of Sciences, Beijing
[3] Institute of Earthquake Science China Earthquake Administration, Beijing
来源：
Ding, Ling (xiaodingdj@126.com) | 2018年 / Chinese Academy of Sciences卷 / 48期
关键词：
Data format abstraction; Data subdivide; Multi-source remote sensing; Parallel processing;
D O I：
10.1360/N092017-00286
中图分类号：
学科分类号：
摘要：
With the development of earth observation technology, more and more ways are available for remote sensing data acquisition. Remote sensing data is characterized by big data. Based on the analysis of the problems in the application of large-scale multi-source remote sensing data, it is summarized that the remote sense data have the characteristics of large amount, multiple sources and inconformity of file format, multiple scale and variety of projection modes, complex structure, and large differences with other fields. The way to solve synergized processing for the large-scale multi-source remote sensing data is put forward, it is carried out in three aspects, including uniform data structure and abstract level, unified subdivision of reference frame for production and management, and distributed high performance processing. Finally, the implementation of multi-source data synergized quantitative remote sensing production system is introduced. © 2018, Science Press. All right reserved.
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页码：433 / 440
页数：7
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