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STANDALONE SOFTWARE FOR DETECTING CHANGES IN SAR AND OPTICAL IMAGES

Pirzamanbein, Behnaz LU orcid and Nielsen, Allan Aasbjerg (2019) p.205-212
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Proceedings of 2019 Big Data from Space (BiDS'19) : 19-21 February 2019, Munich (Germany)
editor
Albani, S ; Loekken, S and Soille, P
pages
205 - 212
publisher
Publications Office of the European Union
ISBN
978-92-76-00034-1
DOI
10.2760/848593
language
English
LU publication?
yes
id
4f02d5f4-c47c-41f5-8d8a-18b0f04f0a67
date added to LUP
2022-03-30 11:01:52
date last changed
2023-05-16 09:11:22
@inproceedings{4f02d5f4-c47c-41f5-8d8a-18b0f04f0a67,
  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       = {{Pirzamanbein, Behnaz and Nielsen, Allan Aasbjerg}},
  booktitle    = {{Proceedings of 2019 Big Data from Space (BiDS'19) : 19-21 February 2019, Munich (Germany)}},
  editor       = {{Albani, S and Loekken, S and Soille, P}},
  isbn         = {{978-92-76-00034-1}},
  language     = {{eng}},
  pages        = {{205--212}},
  publisher    = {{Publications Office of the European Union}},
  title        = {{STANDALONE SOFTWARE FOR DETECTING CHANGES IN SAR AND OPTICAL IMAGES}},
  url          = {{http://dx.doi.org/10.2760/848593}},
  doi          = {{10.2760/848593}},
  year         = {{2019}},
}