Paper Info
Title
Extraction Of Urban Settlements By An Automatic Approach On High Resolution Remote Sensed Data
Abstract
Photo interpretation by human experts has been the major data source for urban planning and monitoring applications. However, images collected from a space based sensor which combines reasonably good spectral and spatial resolution, could provide an useful tool for automatic monitoring of urban area changes. With this aim, in this paper, a data fusion technique, based on a RGB - HIS transformation, has been adopted for combining high spatial resolution panchromatic satellite with multi-spectral low resolution IKONOS H images. Moreover, textural information, which characterizes urban area, has been extracted with the use of a filter for the edge extraction. An MLP classifier has been trained to produce a labelled image with great accuracy in test even if a limited training set has been used. For a photo interpreter, the results reveal a good feasibility of the classified image for monitoring the presence of changes in urban areas, useful for a cartographic updating.
Year
DOI
Venue
2003
10.1109/IGARSS.2003.1294311
IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES
Keywords
DocType
Citations 
high resolution,image resolution,fuzzy classification,testing,data fusion,iterative methods,spatial resolution,urban planning,remote sensing,spectral resolution,false alarm rate,layout,data mining,maximum likelihood,low resolution,neuro fuzzy
Conference
0
PageRank 
References 
Authors
0.34
4
6
Name
Order
Citations
PageRank
Cristina Tarantino112117.11
Annarita D'Addabbo220614.15
l castellana300.34
Guido Pasquariello462.28
Palma Blonda515418.19
giuseppe satalino618324.70