April 2013
Intermediate to advanced
1164 pages
39h 37m
English
Content preview from Hyperspectral Data Processing: Algorithm Design and Analysis
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30.5 Computer-Aided Detection and Classification Algorithm for Concealed Targets
The band ratio has been commonly used for multispectral data to reduce the effects caused by topological slope and aspects or to eliminate differential illumination effects caused by shadows (Jensen, 1996).
Let Bj and Bk be the jth and kth band image vectors. A band-ratioed image vector obtained by taking the ratio of Bj to Bk, denoted by BRjk, is defined as follows:
Assume that the gray level range for all band image vectors is given by 
in ascending order. In case there is a pixel in Bk taking gray level value 0, the gray level of the corresponding pixel in the band ratio image vector BRjk of (30.7) will be simply set to Bj to prevent the denominator of (30.7) from taking 0. As a result, the gray level range of the BRjk is between 1/gT and gT.
Now, combining ATGP in conjunction with the BBOPC-based band selection algorithm discussed in Section 30.4 along with the band-ratioed image obtained by (30.7), the desired CADCA for concealed targets can be implemented as follows.
Computer-aided detection and classification algorithm
1. Apply BBOPC band selection algorithm to select an appropriate band set for the band ratio.
2. Apply the band ratio specified by (30.7) to generate band-ratioed images. ...
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