Spatial Big Data Science

Classification Techniques for Earth Observation Imagery

Автор: Zhe Jiang, Shashi Shekhar

Език:

Корици: С меки корици

Издател: Springer International Publishing AG

Наличност: Налично при издателя, по поръчка

Изпращаме след 17-27 дни

151.44 € 296.20 лв

Emerging Spatial Big Data (SBD) has transformative potential in solving many grand societal challeng...

Информация за книгата

Автор

Zhe Jiang, Shashi Shekhar

Език

Английски език

Корици

Книга - С меки корици

Издадена

2018

страници

131

EAN

9783319868028

Enbook ID

20094411

Издател

Springer International Publishing AG

Теглоt

238

Размери

156 x 237 x 9

Пълно описание

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 characteristics including spatial autocorrelation, anisotropy, heterogeneity, multiple scales and resolutions which is illustrated in this book. This book also discusses current techniques for, spatial big data science with a particular focus on classification techniques for earth observation imagery big data. Specifically, the authors introduce several recent spatial classification techniques, such as spatial decision trees and spatial ensemble learning. Several potential future research directions are also discussed. This book targets an interdisciplinary audience including computer scientists, practitioners and researchers working in the field of data mining, big data, as well as domain scientists working in earth science (e.g., hydrology, disaster), public safety and public health. Advanced level students in computer science will also find this book useful as a reference.

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