@CONFERENCE\{IMM2019-07131,
    author       = "B. Pirzamanbein and A. A. Nielsen",
    title        = "Standalone software for for detecting changes in {SAR} and optical images",
    year         = "2019",
    month        = "feb",
    pages        = "205-208",
    booktitle    = "{ESA} Conference on Big Data from Space (BiDS)",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "",
    organization = "",
    address      = "Munich, Germany",
    url          = "http://doi.org/10.2760/848593",
    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."
}