DocumentCode
1922321
Title
Algorithms for robust signal subspace identification in hyperspectral images: A comparative analysis
Author
Acito, N. ; Corsini, G. ; Diani, M.
Author_Institution
Accademia Navale, Livorno, Italy
fYear
2009
fDate
26-28 Aug. 2009
Firstpage
1
Lastpage
4
Abstract
In this work we present a comparative analysis of the performance of two recently proposed algorithms for signal subspace identification (SSI) and dimensionality reduction (DR) in hyperspectral data. Such SSI algorithms are robust to the presence of rare signal components and are particularly suitable when DR is adopted as a pre-processing step in small target detection applications.
Keywords
image processing; object detection; SSI algorithm; comparative analysis; dimensionality reduction; hyperspectral image; signal component; signal subspace identification; target detection; Algorithm design and analysis; Hyperspectral imaging; Image analysis; Object detection; Performance analysis; Pixel; Principal component analysis; Robustness; Signal analysis; Signal processing; Dimensionality reduction; Signal Subspace Identification; rare vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009. WHISPERS '09. First Workshop on
Conference_Location
Grenoble
Print_ISBN
978-1-4244-4686-5
Electronic_ISBN
978-1-4244-4687-2
Type
conf
DOI
10.1109/WHISPERS.2009.5288995
Filename
5288995
Link To Document