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 Behnaz Pirzamanbein . Foto

Behnaz Pirzamanbin

Biträdande universitetslektor

 Behnaz Pirzamanbein . Foto

STANDALONE SOFTWARE FOR DETECTING CHANGES IN SAR AND OPTICAL IMAGES

Författare

  • Behnaz Pirzamanbein
  • Allan Aasbjerg Nielsen

Redaktör

  • 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.

Avdelning/ar

  • Statistiska institutionen

Publiceringsår

2019

Språk

Engelska

Sidor

205-212

Publikation/Tidskrift/Serie

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

Dokumenttyp

Konferensbidrag

Förlag

Publications Office of the European Union

Ämne

  • Probability Theory and Statistics

Aktiv

Published

ISBN/ISSN/Övrigt

  • ISBN: 978-92-76-00034-1