Standalone software for for detecting changes in SAR and optical images |
Behnaz Pirzamanbein, Allan Aasbjerg Nielsen
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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. |
| Type | Conference paper [With referee] |
| Conference | ESA Conference on Big Data from Space (BiDS) |
| Year | 2019 Month February pp. 205-208 |
| Address | Munich, Germany |
| Electronic version(s) | [pdf] |
| Publication link | http://doi.org/10.2760/848593 |
| BibTeX data | [bibtex] |
| IMM Group(s) | Image Analysis & Computer Graphics |