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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

30.2 Size Estimation of Subpixel Targets

Prior to size estimation detection must be performed to find targets of interest. When an image scene is unknown such a detection must be carried out in an unsupervised manner. The algorithm to be used for this purpose is ATGP which is similar to ATGP-EEA developed in Section 8.5.1, and can be described as follows.

Algorithm for Automatic Target Generation Process

1. Initial condition:
Select a pixel with maximal vector length as an initial target signature of interest denoted by t0. Let ε be the prescribed error threshold and U(0) = [t(0)].
Set img.
2. At img iteration, apply img via (2.78) to all data sample vectors r and find the kth data sample vector t(k), which has the maximum orthogonal projection defined by

(30.1) equation

where img is the data matrix and img if .
3. Calculate

(30.2)

and compare ηk to a prescribed threshold ε.
4. Stopping rule:
If , go to ...
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Publisher Resources

ISBN: 9781118269770Purchase book