Abstract
This paper describes how principal components analysis and Tasseled Cap Transformation were used in the Landsat ETM+ images of south-east London. The six-dimensional landsat dataset was reduced to three major components where the first...
Unsupervised and Supervised Classification of Remotely Sensed Imagery
Introduction
Remote sensing has increasingly been used as a source of information for characterizing land use and land cover change at local, regional and global scales (Townshed and Justice, 2002; Lunetta and Lyons, 2003 in Jensen, 2005, p. 337)....
Report on Image calculations, Local window filters and Scaling image data
Abstract
This paper describes how band ratioing is useful in providing unique information not available in any single band that is useful for discriminating ground features. It also presents the significance of spatial filtering and rescaling...
Multi-scale information extraction of land cover from Landsat Imagery and DEM data
Introduction
The main purpose of this study is to perform a multi-scale information extraction of land cover and vegetation structure from Landsat TM imagery and DEM data, using classification and statistical modeling methods. This study also aims...
Radar Polarimetry in Remote Sensing
Introduction
Radar polarimetry is defined as the science and techniques involved in
measuring and analyzing the complex scattering matrix of pixels in a radar
image (CCRS 2008). The microwave energy from a radar system includes
wavelengths within...