STANDALONE SOFTWARE FOR DETECTING CHANGES IN SAR AND OPTICAL IMAGES

Behnaz Pirzamanbein; Allan Aasbjerg Nielsen

doi:10.2760/848593

STANDALONE SOFTWARE FOR DETECTING CHANGES IN SAR AND OPTICAL IMAGES

Behnaz Pirzamanbein, Allan Aasbjerg Nielsen

Department of Statistics

Technical University of Denmark

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

Abstract

hange detection is an important application in remote sensing earth observation which leads to identification of significant environmental events, forest and agricultural landmonitoring. In this paper, we introduce a standalone softwarefor two well-known change detection methods, omnibus test and iteratively re-weighted multivariate alteration detection (IR-MAD). Omnibus test deals with synthetic aperture radar (SAR) data and detects changes based on computing a sequence of test statistics of covariance matrices and IR-MAD computes the changes between two time points of optical data. Given the availability of earth observation data from different sources and in large amount, the important role of a free software which can deal with big data is apparent.

Original language	English
Title of host publication	Proceedings of 2019 Big Data from Space (BiDS'19) : 19-21 February 2019, Munich (Germany)
Editors	S Albani, S Loekken, P Soille
Publisher	Publications Office of the European Union
Pages	205-212
ISBN (Print)	978-92-76-00034-1
DOIs	https://doi.org/10.2760/848593
Publication status	Published - 2019

Subject classification (UKÄ)

Probability Theory and Statistics

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10.2760/848593

Cite this

@inproceedings{4f02d5f4c47c41f58d8a18b0f04f0a67,

title = "STANDALONE SOFTWARE FOR DETECTING CHANGES IN SAR AND OPTICAL IMAGES",

abstract = "hange detection is an important application in remote sensing earth observation which leads to identification of significant environmental events, forest and agricultural landmonitoring. In this paper, we introduce a standalone softwarefor two well-known change detection methods, omnibus test and iteratively re-weighted multivariate alteration detection (IR-MAD). Omnibus test deals with synthetic aperture radar (SAR) data and detects changes based on computing a sequence of test statistics of covariance matrices and IR-MAD computes the changes between two time points of optical data. Given the availability of earth observation data from different sources and in large amount, the important role of a free software which can deal with big data is apparent.",

author = "Behnaz Pirzamanbein and Nielsen, {Allan Aasbjerg}",

year = "2019",

doi = "10.2760/848593",

language = "English",

isbn = "978-92-76-00034-1",

pages = "205--212",

editor = "Albani, { S} and S Loekken and P Soille",

booktitle = "Proceedings of 2019 Big Data from Space (BiDS'19) : 19-21 February 2019, Munich (Germany)",

publisher = "Publications Office of the European Union",

}

STANDALONE SOFTWARE FOR DETECTING CHANGES IN SAR AND OPTICAL IMAGES. / Pirzamanbein, Behnaz; Nielsen, Allan Aasbjerg.
Proceedings of 2019 Big Data from Space (BiDS'19) : 19-21 February 2019, Munich (Germany). ed. / S Albani; S Loekken; P Soille. Publications Office of the European Union, 2019. p. 205-212.

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

TY - GEN

T1 - STANDALONE SOFTWARE FOR DETECTING CHANGES IN SAR AND OPTICAL IMAGES

AU - Pirzamanbein, Behnaz

AU - Nielsen, Allan Aasbjerg

PY - 2019

Y1 - 2019

N2 - hange detection is an important application in remote sensing earth observation which leads to identification of significant environmental events, forest and agricultural landmonitoring. In this paper, we introduce a standalone softwarefor two well-known change detection methods, omnibus test and iteratively re-weighted multivariate alteration detection (IR-MAD). Omnibus test deals with synthetic aperture radar (SAR) data and detects changes based on computing a sequence of test statistics of covariance matrices and IR-MAD computes the changes between two time points of optical data. Given the availability of earth observation data from different sources and in large amount, the important role of a free software which can deal with big data is apparent.

AB - hange detection is an important application in remote sensing earth observation which leads to identification of significant environmental events, forest and agricultural landmonitoring. In this paper, we introduce a standalone softwarefor two well-known change detection methods, omnibus test and iteratively re-weighted multivariate alteration detection (IR-MAD). Omnibus test deals with synthetic aperture radar (SAR) data and detects changes based on computing a sequence of test statistics of covariance matrices and IR-MAD computes the changes between two time points of optical data. Given the availability of earth observation data from different sources and in large amount, the important role of a free software which can deal with big data is apparent.

U2 - 10.2760/848593

DO - 10.2760/848593

M3 - Paper in conference proceeding

SN - 978-92-76-00034-1

SP - 205

EP - 212

BT - Proceedings of 2019 Big Data from Space (BiDS'19) : 19-21 February 2019, Munich (Germany)

A2 - Albani, S

A2 - Loekken, S

A2 - Soille, P

PB - Publications Office of the European Union

ER -

STANDALONE SOFTWARE FOR DETECTING CHANGES IN SAR AND OPTICAL IMAGES

Abstract

Subject classification (UKÄ)

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