Year
2011
Abstract
With the advances in satellite sensor technologies as to spatial resolution, the concept of object-based image analysis (OBIA) has become widely-used in different remote sensing applications and involved the development of some commercial off-the-shelf systems. None of the systems available today is able to achieve the accuracy of human image interpreters; however, all of them are able to at least provide a pre-selection of relevant object features and image objects. The procedures implemented in the systems still show some shortcomings in terms of segmentation, feature extraction, multitemporal analysis, and others. Against this background, this paper aims to present some recent developments and advances in objectbased change detection for nuclear safeguards applications. In detail, procedures based on Multiresolution Segmentation (MRS) and Multivariate Alteration Detection (MAD) were implemented as C++ stand-alone programmes and Definiens Developer plug-in. The paper introduces the methodologies, describes the implementation and gives some (experimental) results on nuclear safeguards applications using simulated and real data.