@inproceedings{7b070a6a26da403bbc9a102c2325d109,
title = "Dimensionality reduction of hyperspectral images for color display using segmented independent component analysis",
abstract = "The problem of dimensionality reduction for color representation of hyperspectral images has received recent attention. In this paper, several independent component analysis (ICA) based approaches are proposed to reduce the dimensionality of hyperspectral images for visualization. We also develop a simple but effective method, based on correlation coefficient and mutual information (CCMI), to select the suitable independent components for RGB color representation. Experimental results are presented to illustrate the performance of our approaches.",
keywords = "Dimensionality reduction, Hyperspectral imaging, ICA, Visualization",
author = "Zhu Yingxuan and Varshney, {Pramod K.} and Chen Hao",
year = "2007",
doi = "10.1109/ICIP.2007.4379963",
language = "English",
isbn = "1424414377",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "IV97--IV100",
booktitle = "2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings",
note = "14th IEEE International Conference on Image Processing, ICIP 2007 ; Conference date: 16-09-2007 Through 19-09-2007",
}