STANDALONE SOFTWARE FOR DETECTING CHANGES IN SAR AND OPTICAL IMAGES

Behnaz Pirzamanbein, Allan Aasbjerg Nielsen

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

Sammanfattning

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.
Originalspråkengelska
Titel på värdpublikationProceedings of 2019 Big Data from Space (BiDS'19) : 19-21 February 2019, Munich (Germany)
Redaktörer S Albani, S Loekken, P Soille
FörlagPublications Office of the European Union
Sidor205-212
ISBN (tryckt)978-92-76-00034-1
DOI
StatusPublished - 2019

Ämnesklassifikation (UKÄ)

  • Sannolikhetsteori och statistik

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