DocumentCode :
326978
Title :
Feature extraction based on LOOC estimation
Author :
Benediktsson, Jon Atli ; Sigurdsson, Jakob ; Sveinsson, Johannes R.
Author_Institution :
Eng. Res. Inst., Iceland Univ., Reykjavik, Iceland
Volume :
4
fYear :
1998
fDate :
6-10 Jul 1998
Firstpage :
2053
Abstract :
An extension to decision boundary feature extraction (DBFE) is discussed. The extension is based on a covariance estimator, the leave one out covariance (LOOC). The LOOC-DBFE method is tested on a hyperdimensional remote data set and compared to original DBFE. The proposed approach compares favorably with the original DBFE method, especially in hyperdimensional cases
Keywords :
covariance matrices; edge detection; estimation theory; feature extraction; geophysical signal processing; image classification; remote sensing; DBFE; LOOC estimation; LOOC-DBFE method; covariance estimator; decision boundary feature extraction; feature extraction; hyperdimensional remote data set; leave one out covariance; Councils; Covariance matrix; Data mining; Feature extraction; Ice; Remote sensing; Snow; Statistical analysis; Statistics; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
Type :
conf
DOI :
10.1109/IGARSS.1998.703738
Filename :
703738
Link To Document :
بازگشت