Title
Study on the issue of noise estimation in dimension reduction of hyperspectral images
Abstract
The study on the influence of noise is never discontinuous in hyperspectral image processing. This paper studies this key element in dimension reduction methods based on orthogonal transformation of hyperspectral images. Firstly, distribution features of noise in spectral and spatial dimension are analyzed. Then several traditional dimension reduction methods are discussed. And, noise estimation methods based on spectral and spatial correlation are applied on Maximum Noise Fraction (MNF) transform respectively. From the experimental analysis, it is found that spectral and spatial de-correlation algorithm with image regular partitioning (e.g. rectangle) is more suitable for noise matrix estimation in MNF. Finally, these dimension reduction methods are contrastively used for extracting information from hyperspectral images. From the comparison of results, the optimized MNF considering characteristics of noise can extract more efficient features than others.
Year
DOI
Venue
2011
10.1109/WHISPERS.2011.6080944
WHISPERS
Keywords
Field
DocType
maximum noise fraction,noise estimation,noise estimation method,spatial dimension,spectral analysis,maximum noise fraction transform,hyperspectral image processing,dimension reduction,orthogonal transformation,noise matrix estimation,geophysical image processing,information extraction,experimental analysis,spatial decorrelation algorithm,spectral dimension,image regular partitioning,spectral decorrelation algorithm,correlation methods,noise feature distribution,hyperspectral imaging,correlation,estimation,feature extraction,signal to noise ratio
Dimensionality reduction,Spatial correlation,Pattern recognition,Orthogonal transformation,Signal-to-noise ratio,Image processing,Hyperspectral imaging,Feature extraction,Independent component analysis,Artificial intelligence,Mathematics
Conference
Volume
Issue
ISSN
null
null
2158-6268
ISBN
Citations 
PageRank 
978-1-4577-2202-8
1
0.35
References 
Authors
0
4
Name
Order
Citations
PageRank
Lianru Gao137359.90
Bing Zhang210.35
Zhengchao Chen32210.85
Liping Lei42111.69