Segmentation and classification with point target detection

Y. Simson; M. Cohen; S. R. Rotman

doi:10.1117/12.572815

Segmentation and classification with point target detection

Y. Simson
, M. Cohen
, S. R. Rotman

Department of Electrical & Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

In this paper, we consider the advantages that segmentation can give towards detecting sub-pixel point targets in hyperspectral imagery. We will show that by segmenting the image, we can find a better estimate for the covariance matrix; the resulting target estimation is vastly improved. A method to deal with edge points is discussed.

Original language	English
Article number	25
Pages (from-to)	103-114
Number of pages	12
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5617
DOIs	https://doi.org/10.1117/12.572815
State	Published - 1 Dec 2004
Event	Optically Based Biological and Chemical Sensing for Defence - London, United Kingdom Duration: 25 Oct 2004 → 28 Oct 2004

Keywords

Hyperspectral
Segmentation
Target detection

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.572815

Cite this

@article{fd32d27c67444b3d951b4fd250cd4d6a,

title = "Segmentation and classification with point target detection",

abstract = "In this paper, we consider the advantages that segmentation can give towards detecting sub-pixel point targets in hyperspectral imagery. We will show that by segmenting the image, we can find a better estimate for the covariance matrix; the resulting target estimation is vastly improved. A method to deal with edge points is discussed.",

keywords = "Hyperspectral, Segmentation, Target detection",

author = "Y. Simson and M. Cohen and Rotman, \{S. R.\}",

year = "2004",

month = dec,

day = "1",

doi = "10.1117/12.572815",

language = "English",

volume = "5617",

pages = "103--114",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "SPIE",

note = "Optically Based Biological and Chemical Sensing for Defence ; Conference date: 25-10-2004 Through 28-10-2004",

}

TY - JOUR

T1 - Segmentation and classification with point target detection

AU - Simson, Y.

AU - Cohen, M.

AU - Rotman, S. R.

PY - 2004/12/1

Y1 - 2004/12/1

N2 - In this paper, we consider the advantages that segmentation can give towards detecting sub-pixel point targets in hyperspectral imagery. We will show that by segmenting the image, we can find a better estimate for the covariance matrix; the resulting target estimation is vastly improved. A method to deal with edge points is discussed.

AB - In this paper, we consider the advantages that segmentation can give towards detecting sub-pixel point targets in hyperspectral imagery. We will show that by segmenting the image, we can find a better estimate for the covariance matrix; the resulting target estimation is vastly improved. A method to deal with edge points is discussed.

KW - Hyperspectral

KW - Segmentation

KW - Target detection

UR - https://www.scopus.com/pages/publications/17644369974

U2 - 10.1117/12.572815

DO - 10.1117/12.572815

M3 - Conference article

AN - SCOPUS:17644369974

SN - 0277-786X

VL - 5617

SP - 103

EP - 114

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 25

T2 - Optically Based Biological and Chemical Sensing for Defence

Y2 - 25 October 2004 through 28 October 2004

ER -

Segmentation and classification with point target detection

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this