The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Behnaz Pirzamanbein . Photo

Behnaz Pirzamanbin

Associate senior lecturer

Behnaz Pirzamanbein . Photo

STANDALONE SOFTWARE FOR DETECTING CHANGES IN SAR AND OPTICAL IMAGES

Author

  • Behnaz Pirzamanbein
  • Allan Aasbjerg Nielsen

Editor

  • S Albani
  • S Loekken
  • P Soille

Summary, in English

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.

Department/s

  • Department of Statistics

Publishing year

2019

Language

English

Pages

205-212

Publication/Series

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

Document type

Conference paper

Publisher

Publications Office of the European Union

Topic

  • Probability Theory and Statistics

Status

Published

ISBN/ISSN/Other

  • ISBN: 978-92-76-00034-1