Spatial Big Data Science Classification Techniques for Earth Observation Imagery /

Spatial Big Data Science Classification Techniques for Earth Observation Imagery /

Emerging Spatial Big Data (SBD) has transformative potential in solving many grand societal challenges such as water resource management, food security, disaster response, and transportation. However, significant computational challenges exist in analyzing SBD due to the unique spatial characteristi...

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Bibliographic Details
Main Authors: Jiang, Zhe (Author), Shekhar, Shashi (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Subjects:
Computer science.
Physical geography.
Data mining.
Remote sensing.
Computer Science.
Data Mining and Knowledge Discovery.
Remote Sensing/Photogrammetry.
Earth System Sciences.
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Part I Overview of Spatial Big Data Analytics
  • 1 Spatial Big
  • 2 Spatial and Spatiotemporal Big Data science
  • Part II Classification of Earth Observation Imagery Big Data
  • 3 Overview of Earth Imagery Classification
  • 4 Spatial Information Gain Based Spatial Decision Tree
  • 5 Focal-Test-Based Spatial Decision Tree
  • 6 Spatial Ensemble Learning
  • Part III Future Research Needs
  • 7 Future Research Needs
  • References.

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