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
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;
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
DOI :
10.1109/WHISPERS.2009.5288995
