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portada Improved Hyperspectral Image Testing Using Synthetic Imagery and Factorial Designed Experiments
Type
Physical Book
Author
Publisher
Language
English
Pages
118
Format
Paperback
Dimensions
24.6x18.9x0.6 cm
Weight
0.23 kg.
ISBN13
9781288395408
Categories

Improved Hyperspectral Image Testing Using Synthetic Imagery and Factorial Designed Experiments

Joseph P. Bellucci (Author) · Biblioscholar · Paperback

Improved Hyperspectral Image Testing Using Synthetic Imagery and Factorial Designed Experiments - Bellucci, Joseph P.

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Synopsis "Improved Hyperspectral Image Testing Using Synthetic Imagery and Factorial Designed Experiments"

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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