Abstact

COMPARISON OF FEATURE EXTRACTION FROM HIGH AND LOW RESOLUTION IMAGES

Remote sensing imagery needs to be converted into tangible information that can be used with other data sets in Geographic Information Systems. The field of earth observation has seen tremendous development over recent year which has resulted in availability of high spatial resolution (0.41-4 m) remote sensing imagery that gives more detail being available for various research and applications. A common issue with coarse resolution cells is that they combine spectral properties of heterogeneous land cover, at the same time the popular belief that the high spatial resolution images will always lead to a better interpretation, may not always be true. This paper compares the extraction of features using high and low spatial resolution imagery. In this paper the trending GEOBIA technique is also being used.