Improved Hyperspectral Image Testing Using Synthetic Imagery and Factorial Designed Experiments
Joseph P. Bellucci
Broschiertes Buch

Improved Hyperspectral Image Testing Using Synthetic Imagery and Factorial Designed Experiments

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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 w...