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.
Info
Conference Paper, 2019
UN SDG Classification
DK Main Research Area
Science/Technology
