SUMMARY: An attempt was made to trace the possibility of division of the content of satellite images into two basic classes associated with the “low” and “high” values of the texture. This classification approach
ABSTRACT: In the second half of the 1990s, MAD (Multivariate Alteration Detection) method designed for detecting differences in multidimensional datasets was published. It was developed specifically for change detection performed on the basis of
Satellite remote sensing is one of the main sources of information on natural environment and the processes occurring on the surface of the Earth. Satellite images of different spatial, spectral and radiometric resolution, enable
Increasing amount of Very High Resolution (VHR) data requires new methods of information mining. In this paper we describe applicability of multifractal theory for VHR panchromatic image analysis. The aim of the study was
The remote sensing technology has many practical applications in different fields of science and industry. There is also a need to examine its usefulness for the purpose of land border surveillance. This research
New approach for classification of high-resolution satellite images is presented in the article. That approach has been developed at the Institute of Geodesy and Cartography, Warsaw, within the Geoland 2 project – SATChMo Core