Improved Hyperspectral Image Testing Using Synthetic Imagery and Factorial Designed Experiments

Name: Improved Hyperspectral Image Testing Using Synthetic Imagery and Factorial Designed Experiments
Brand: Biblioscholar
SKU: 9781288395408
Price: 51.91 EUR
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Autor: Joseph P Bellucci

Jazyk:

Väzba: Brožovaná

Vydavateľ: Biblioscholar

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The goal of any remote sensing system is to gather data about the geography it is imaging. In order...

Informácie o knihe

Autor

Joseph P Bellucci

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2012

Stránok

118

EAN

9781288395408

ISBN

9781288395408

Enbook ID

08249232

Vydavateľ

Biblioscholar

Hmotnosť

227

Rozmery

189 x 246 x 6

Kompletný popis

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.

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Improved Hyperspectral Image Testing Using Synthetic Imagery and Factorial Designed Experiments

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Kompletný popis

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