Spark-based adaptive Mapreduce data processing method for remote sensing imagery-Reference-Cited by-同舟云学术

Spark-based adaptive Mapreduce data processing method for remote sensing imagery

Published:2020-11-10 Issue:1 Volume:42 Page:191-207
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Tan Xicheng¹,Di Liping²,Zhong Yanfei³,Yao Yayu¹,Sun Ziheng²,Ali Yahya¹

Affiliation:

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

2. Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, USA

3. State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

Funder

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Hubei Natural Science Foundation

Open Research Project of the Hubei Key Laboratory of Intelligent Geo-Information Processing

Key Laboratory of Spatial Data Mining & Information Sharing of the Ministry of Education, Fuzhou University

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1804087

Reference45 articles.

1. Hadoop GIS

2. Akhter, S., K. Aida, and Y. Chemin. 2010. “Grass Gis on High Performance Computing with Mpi, Openmp and Ninf-g Programming Framework.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, Volume XXXVIII (8): 580–585.

3. Anonymous. 2019a. “Open Source Geospatial Project, GDAL”. Accessed 5 July 2019. http://www.gdal.org/

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