Amanote Research
Register
Sign In
Sampling Based Image Splitting in Large Scale Distributed Computing of Earth Observation Data
doi 10.1109/igarss.2014.6946699
Full Text
Open PDF
Abstract
Available in
full text
Date
July 1, 2014
Authors
Renee Sieber
Publisher
IEEE
Related search
Transparent Distributed Data Management in Large Scale Distributed Systems
Research on Large Scale Data Processing Technology Based on Cloud Computing
The Local Definability of Robotic Large-Scale Knowledge Based on Splitting
International Journal of Advanced Robotic Systems
A Review of Parallel Computing for Large-Scale Remote Sensing Image Mosaicking
Cluster Computing
Computer Networks
Software
Communications
Passive Network Performance Estimation for Large-Scale, Data-Intensive Computing
IEEE Transactions on Parallel and Distributed Systems
Hardware
Computational Theory
Signal Processing
Architecture
Mathematics
Enabling the Big Earth Observation Data via Cloud Computing and DGGS: Opportunities and Challenges
Remote Sensing
Earth
Planetary Sciences
BlobSeer: Efficient Data Management for Data-Intensive Applications Distributed at Large-Scale
TDI CMOS Image Sensor for Earth Observation
Image Information Mining : Exploration of Earth Observation Archives
Geographica Helvetica
Development
Planetary Change
Global
Anthropology
Planning
Earth-Surface Processes
Geography
