Standalone software for for detecting changes in SAR and optical images

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Abstract

Change detection is an important application in remote sensing earth observation which leads to identification of significant environmental events, forest and agricultural land monitoring. In this paper, we introduce a standalone software for 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.
Original languageEnglish
Title of host publicationProceedings of the 2019 conference on Big Data from Space
Publication date2019
Pages205-208
ISBN (Print)978-92-76-00034-1
Publication statusPublished - 2019
EventConference on Big Data from Space - Alte Kongresshalle, Munich, Germany
Duration: 19 Feb 201921 Feb 2019

Conference

ConferenceConference on Big Data from Space
LocationAlte Kongresshalle
CountryGermany
CityMunich
Period19/02/201921/02/2019

Cite this

Pirzamanbein, B., & Nielsen, A. A. (2019). Standalone software for for detecting changes in SAR and optical images. In Proceedings of the 2019 conference on Big Data from Space (pp. 205-208)