Evaluating hyperspectral imaging change detection methods

Stanley Rotman; Hanoch Shalev

doi:https://doi.org/10.1109/IGARSS.2017.8127360

Evaluating hyperspectral imaging change detection methods

Stanley Rotman, Hanoch Shalev

Department of Electrical & Computer Engineering

Ben-Gurion University of the Negev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this article, we compare three change detection methods for hyperspectral imagery and establish their sensitivity to registration mismatch. We further present metrics that enable this comparison and seek to rank the methods.

Original language	English
Title of host publication	2017 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publication	International Cooperation for Global Awareness, IGARSS 2017 - Proceedings
Pages	1946-1949
Number of pages	4
ISBN (Electronic)	9781509049516
DOIs	https://doi.org/10.1109/IGARSS.2017.8127360
State	Published - 1 Dec 2017
Event	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, United States Duration: 23 Jul 2017 → 28 Jul 2017

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2017-July

Conference

Conference	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Country/Territory	United States
City	Fort Worth
Period	23/07/17 → 28/07/17

Keywords

Change Detection
Chronochrome
Covariance Equalization
Hyperspectral Imaging

All Science Journal Classification (ASJC) codes

Computer Science Applications
Earth and Planetary Sciences(all)

Access to Document

https://doi.org/10.1109/IGARSS.2017.8127360

Cite this

Rotman, S., & Shalev, H. (2017). Evaluating hyperspectral imaging change detection methods. In 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings (pp. 1946-1949). Article 8127360 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2017-July). https://doi.org/10.1109/IGARSS.2017.8127360

@inproceedings{32a32b3b694e426fa967078c3cf7507e,

title = "Evaluating hyperspectral imaging change detection methods",

abstract = "In this article, we compare three change detection methods for hyperspectral imagery and establish their sensitivity to registration mismatch. We further present metrics that enable this comparison and seek to rank the methods.",

keywords = "Change Detection, Chronochrome, Covariance Equalization, Hyperspectral Imaging",

author = "Stanley Rotman and Hanoch Shalev",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 ; Conference date: 23-07-2017 Through 28-07-2017",

year = "2017",

month = dec,

day = "1",

doi = "https://doi.org/10.1109/IGARSS.2017.8127360",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

pages = "1946--1949",

booktitle = "2017 IEEE International Geoscience and Remote Sensing Symposium",

}

Rotman, S & Shalev, H 2017, Evaluating hyperspectral imaging change detection methods. in 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings., 8127360, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2017-July, pp. 1946-1949, 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, Fort Worth, United States, 23/07/17. https://doi.org/10.1109/IGARSS.2017.8127360

Evaluating hyperspectral imaging change detection methods. / Rotman, Stanley; Shalev, Hanoch.
2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. 2017. p. 1946-1949 8127360 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2017-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Evaluating hyperspectral imaging change detection methods

AU - Rotman, Stanley

AU - Shalev, Hanoch

PY - 2017/12/1

Y1 - 2017/12/1

N2 - In this article, we compare three change detection methods for hyperspectral imagery and establish their sensitivity to registration mismatch. We further present metrics that enable this comparison and seek to rank the methods.

AB - In this article, we compare three change detection methods for hyperspectral imagery and establish their sensitivity to registration mismatch. We further present metrics that enable this comparison and seek to rank the methods.

KW - Change Detection

KW - Chronochrome

KW - Covariance Equalization

KW - Hyperspectral Imaging

UR - http://www.scopus.com/inward/record.url?scp=85041850478&partnerID=8YFLogxK

U2 - https://doi.org/10.1109/IGARSS.2017.8127360

DO - https://doi.org/10.1109/IGARSS.2017.8127360

M3 - Conference contribution

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 1946

EP - 1949

BT - 2017 IEEE International Geoscience and Remote Sensing Symposium

T2 - 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017

Y2 - 23 July 2017 through 28 July 2017

ER -

Evaluating hyperspectral imaging change detection methods

Abstract

Publication series

Conference

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this