The research and the realization of remote sensing data sharing platform based on the satellite link

2007 ◽  
Author(s):  
Xiaohong Zhang ◽  
Maotang Li ◽  
Shile Hao ◽  
Haibo Yang
Author(s):  
Xuan Ma ◽  
Zhibao Wang ◽  
Lu Bai ◽  
Bingbing Xu ◽  
Juntao Gao ◽  
...  

2014 ◽  
Vol 722 ◽  
pp. 308-311 ◽  
Author(s):  
Ming Zhu Guo ◽  
Feng Xian Zhao ◽  
Ya Kun Wang

This paper introduces a methodology for creating geometrically of real terrain based on DEM data, which provided by the international scientific data sharing center.The method is to convert the DEM data in Global Mapper, AutoCAD and other softwares, process batch of data using office software, based on APDL language programming in ANSYS software , so as to realize the real remote sensing data to establish 3-D geological model in finite element software. An example illustrates the capabilities of the proposed methodology in this paper.


2009 ◽  
Author(s):  
Yong Tu ◽  
Jie Peng ◽  
Qi Li ◽  
Cheng Dong ◽  
Hui Zhao

2021 ◽  
Vol 13 (7) ◽  
pp. 1314
Author(s):  
Lilu Zhu ◽  
Xiaolu Su ◽  
Xianqing Tai

With continuous improvement of earth observation technology, source, and volume of remote sensing data are gradually enriched. It is critical to realize unified organization and to form data sharing service capabilities for massive remote sensing data effectively. We design a hierarchical multi-dimensional hybrid indexing model (HMDH), to address the problems in underlying organization and management, and improve query efficiency. Firstly, we establish remote sensing data grid as the smallest unit carrying and processing spatio-temporal information. We implement the construction of the HMDH in two steps, data classification based on fuzzy clustering algorithm, and classification optimization based on recursive neighborhood search algorithm. Then, we construct a hierarchical “cube” structure, filled with continuous space filling curves, to complete the coding of the HMDH. The HMDH reduces the amount of data to 6–17% and improves the accuracy to more than eight times than traditional grid model. Moreover, it can reduce the query time to 25% in some query scenarios than algorithms selected as the baseline in this paper. The HMDH model proposed can be used to solve the efficiency problems of fast and joint retrieval of remote sensing data. It extends the pattens of data sharing service and has a high application value.


Sign in / Sign up

Export Citation Format

Share Document