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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

21.8 Conclusions

The concept of BP was previously investigated by Chang et al. (1999) to be part of band selection that prioritizes spectral bands in accordance with their priority scores calculated by a specific criterion designed for a particular application. The term of BP was coined and further explored for PBDP in Chang et al. (2010) where the two dual processes, forward PBDP and backward PBDP, were re-named as PBDE and PBDR, respectively, both of which can perform band selection without actually solving an optimization problem required by the conventional BS. Several potentials of PBDP in various applications have been explored in this chapter. (1) It extends second-order statistics band prioritization criteria to including high-order statistics band prioritization criteria where four categories of criteria are derived for BP based on second-order statistics, high-order statistics, classification, and band correlation/dependence minimization, respectively. Interestingly, such categorization has not been studied in the literature. (2) By virtue of PBDP two dual processes can be developed, namely, PBDR via BP and PBDE via BP that can be used for applications in data compression, storage, transmission, and communication. (3) PBDP takes advantage of a recently developed VD to provide lower or upper bounds on the number of bands to be selected. (4) In some applications where the small targets can only show up in bands with least priorities. In this case, PBDP enables users to ...

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