38 search results - page 2 / 8 » Particle Swarms for Feature Extraction of Hyperspectral Data |
IGARSS
2009
13 years 2 months ago
2009
Kernel Principal Component Analysis (KPCA) is investigated for feature extraction from hyperspectral remotesensing data. Features extracted using KPCA are used to construct the Ex...
IGARSS
2009
13 years 2 months ago
2009
In this study, the authors investigate the use of hyperspectral imaging for food crop monitoring and contamination detection and characterization. The authors investigate the use ...
CIBCB
2005
IEEE
13 years 10 months ago
2005
IEEE
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
: Problem statement: Term extraction is one of the layers in the ontology development process which has the task to extract all the terms contained in the input document automatica...
PRL
2007
13 years 4 months ago
2007
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...