STANDALONE SOFTWARE FOR DETECTING CHANGES IN SAR AND OPTICAL IMAGES
(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:
https://lup.lub.lu.se/record/4f02d5f4-c47c-41f5-8d8a-18b0f04f0a67
- author
- Pirzamanbein, Behnaz LU and Nielsen, Allan Aasbjerg
- organization
- publishing date
- 2019
- 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}}, }