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.
|Title of host publication||Proceedings of the 2019 conference on Big Data from Space|
|Publication status||Published - 2019|
|Event||Conference on Big Data from Space - Alte Kongresshalle, Munich, Germany|
Duration: 19 Feb 2019 → 21 Feb 2019
|Conference||Conference on Big Data from Space|
|Period||19/02/2019 → 21/02/2019|