B. Aiazzi, L. Alparone, S. Baronti, C. Lastri and M. Selva1, “Spectral Distortion in Lossy Compression of Hyperspectral Data,” Journal of Electrical and Computer Engineering, Vol. 2012, No. 2012, 2012, Article ID: 850637.

has been cited by the following article:

• TITLE: Application of Hyperspectral Band Elimination Technique to PVT Images of Composite Structures

  AUTHORS: Mahmoud Zaki Iskandarani

  KEYWORDS: Hyperspectral; Thermography; NDE; Composites; Damage Detection; PVT; Neural Networks

  JOURNAL NAME: Engineering, Vol.4 No.10, October 11, 2012

  ABSTRACT: A new approach to NDT of composite structures using Band Elimination of the analyzed image index by Hyperspectral image analysis approach is presented and discussed. The matrix Band Elimination technique allows the monitoring and analysis of a components structure based on Filtering of bands and correlation between sequentially pulsed thermal images and their indices. The technique produces several matrices resulting from frame deviation and pixel redistribution calculations for intelligent classification and property prediction. The obtained results proved the technique to be capable of identifying damaged components with ability to model various types of damage under different conditions.