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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

14.5 Real Image Experiments

In this section, the 15-panel HYDICE image scene in Figure 1.15(a) was used for experiments. One major difference between the real HYDICE image scene in Figure 1.15(a) and the simulated synthetic image in Figure 14.1(c) was that very little knowledge of the image background in Figure 1.15(a) was known compared to the image background in Figure 14.1(b), which was simulated by complete knowledge. As we may expect, an AC-LSMA classifier may not perform as well as it did for the synthetic image if the image background in Figure 1.15(a) was not well characterized. In order to demonstrate this fact, two scenarios were used to characterize the image background as follows. In addition, we also assumed that knowledge of the 9 R pixels in the img and 5 R pixels in the img panels in Figure 1.15(b) was available a priori. This is because the panels in the 3rd column are subpixel panels which cannot be visualized to obtain as priori knowledge. Thus, the panel signatures in Figure 1.16 and 14 R pixels in both the img and img panels were considered to be prior knowledge.

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Publisher Resources

ISBN: 9781118269770Purchase book