Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Big Data for Remote Sensing: Visualization, Analysis and Interpretation: Digital Earth and Smart Earth

Big Data for Remote Sensing: Visualization, Analysis and Interpretation: Digital Earth and Smart Earth

Ashour, Amira S.
Dey, Nilanjan
Bhatt, Chintan

Hardcover

Environmental StudiesGeneral ComputersGeography

ISBN10: 3319899228
ISBN13: 9783319899220
Publisher: Springer Nature
Published: Jun 1 2018
Pages: 154
Weight: 0.92
Height: 0.44 Width: 6.14 Depth: 9.21
Language: English

This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science.

Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data.The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed.

1 different editions

Also available

Also in

Geography

View All