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Hyperspectral Data Processing: Algorithm Design and Analysis
book

Hyperspectral Data Processing: Algorithm Design and Analysis

by Chein-I Chang
April 2013
Intermediate to advanced
1164 pages
39h 37m
English
Wiley-Interscience
Content preview from Hyperspectral Data Processing: Algorithm Design and Analysis

4.3 Six Scenarios of Synthetic Images

Section 4.2 describes how to simulate subsample targets or mixed-sample targets according to their characteristics. In this section, we will discuss on how to simulate synthetic images with target panels inserted in accordance with certain desired properties.

4.3.1 Panel Simulations

First, the real image scene with reflectance data shown in Figure 1.12(c) is used to simulate panels of interest where the reflectance spectra of five USGS ground-truth mineral spectra: alunite (A), buddingtonite (B), calcite (C), kaolinite (K), and muscovite (M) are used to simulate 25 panels of various sizes that are arranged in a img matrix as shown in Figure 4.2.

Figure 4.2 25 simulated panels.

img

Each row of the five panels in Figure 4.2 is simulated by the same mineral signature and each column of five panels has the same size. Among 25 panels are five img-pure pixel panels, img for img in the first column, five -pure pixel panels, for in the second column, five -mixed pixel panels, ...

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Publisher Resources

ISBN: 9781118269770Purchase book