Comments on "Orthogonal Subspace Projection (OSP) Revisited: A Comprehensive Study and Analysis

Author

Johnson, Stanley

Author_Institution

Air Force Inst. of Technol., Wright-Patterson AFB, OH

Volume

45

Issue

2

fYear

2007

Firstpage

532

Lastpage

533

Abstract

A recent paper discussed the orthogonal subspace projection (OSP) algorithm. That paper advocated the use of OSP for target detection and material abundance estimation for mixed pixels in hyperspectral images. However, it was proved in an older paper that an algorithm called the constrained signal detector (CSD) generally outperforms the OSP for the applications of target detection and abundance estimation. The purpose of this correspondence is to review the differences in detection and estimation performance between OSP and CSD

Keywords

image processing; parameter estimation; remote sensing; signal detection; constrained signal detector algorithm; hyperspectral images; material abundance estimation; orthogonal subspace projection algorithm; target detection; Algorithm design and analysis; Detectors; Hyperspectral imaging; Hyperspectral sensors; Multidimensional signal processing; Object detection; Parameter estimation; Pixel; Signal detection; Stochastic resonance; Image processing; multidimensional signal detection; orthogonal subspace projection (OSP); parameter estimation; remote sensing;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/TGRS.2006.887026

Filename

4069106