Classification and feature extraction of hyperdimensional data using LOOC covariance estimation

Author

Benediktsson, Jon Atli ; Ingimundarson, J.I. ; Sveinsson, Johannes R.

Author_Institution

Eng. Res. Inst., Iceland Univ., Reykjavik, Iceland

Volume

2

fYear

1997

fDate

3-8 Aug 1997

Firstpage

913

Abstract

New methods for processing of multisource and hyperdimensional data are discussed both in terms of feature extraction and classification. An extension to decision boundary feature extraction (DBFE) is proposed. The extension is based on a recently developed covariance estimator, the leave one out covariance (LOOC). The extended decision boundary method is tested on a multisource remote sensing and geographic data set

Keywords

feature extraction; geophysical signal processing; geophysical techniques; image classification; remote sensing; sensor fusion; DBFE; LOOC; covariance estimation; decision boundary feature extraction; feature extraction; geophysical measurement technique; hyperdimensional; image classification; image processing; land surface; leave one out covariance; multidimensional signal processing; multispectral remote sensing; sensor fusion; terrain mapping; Councils; Covariance matrix; Data engineering; Data mining; Feature extraction; Remote sensing; Rivers; Statistical analysis; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International

Print_ISBN

0-7803-3836-7

Type

conf

DOI

10.1109/IGARSS.1997.615296

Filename

615296