Improved Hyperspectral Image Testing Using Synthetic Imagery and Factorial Designed Experiments

Language: English

Published by Creative Media Partners, LLC Dez 2012, 2012

128839540X / 9781288395408

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Neuware - The goal of any remote sensing system is to gather data about the geography it is imaging. In order to gain knowledge of the earth's landscape, post-processing algorithms are developed to extract information from the collected data. The algorithms can be intended to classify the various ground covers in a scene, identify specific targets of interest, or detect anomalies in an image. After the design of an algorithm comes the difficult task of testing and evaluating its performance. Traditionally, algorithms are tested using sets of extensively ground truthed test images. However, the lack of well characterized test data sets and the significant cost and time issues associated with assembling the data sets contribute to the limitations to this approach. This thesis uses a synthetic image generation model in cooperation with a factorial designed experiment to create a family of images with which to rigorously test the performance of hyperspectral algorithms.

Seller Inventory # 9781288395408

Title
Improved Hyperspectral Image Testing Using Synthetic Imagery and Factorial Designed Experiments
Author
Joseph P. Bellucci
Publisher
Creative Media Partners, LLC Dez 2012
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
128839540X
ISBN 13
9781288395408
Item weight
227 grams
Dimensions
246x189x6 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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