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Remote Sensing, Nonlinear Model, Supercomputing

Name: Remote Sensing, Nonlinear Model, Supercomputing
Brand: LAP Lambert Academic Publishing
SKU: 15555900
Price: 22.49 EUR
Availability: InStock
Author: Jiang Lin Qin
ISBN: 9783659978203

Jiang Lin Qin

Lingua

Inglese

Libro In brossura

Codice Libristo: 15555900

Casa editrice LAP Lambert Academic Publishing, novembre 2015

The novelty of this algorithm is to apply multiple sources of remote sensing data combined with data... Descrizione completa

Codice Libristo: 15555900

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The novelty of this algorithm is to apply multiple sources of remote sensing data combined with data of unmanned weather stations, topography, ground cover,DEM, and astronomy and calendar rules. The results indicated that the model has high accuracy, reliability, and generalization ability. Factors such as cloudiness, ground vegetation, and water vapor show little interference, so the model seems suitable for large area retrieving under natural conditions. The required high-performance computation was achieved by a CPU + GPU isomery and synergy parallel computation system that improved computing speed by more than 1000-fold, with easily extendable computing capability. We found that the current algorithm is superior to seven major split-window algorithms and their best combined algorithms based on prediction errors, root-meansquare errors, and the percentage of data points with 3 C absolute error. Our SVM approach overcomes shortcomings of classical temperature remote sensing technologies, and is the first report of such application.