Spatial Degradation of Classified Satellite Images

Spatial Degradation of Classified Satellite Images

One of the most common uses of classified satellite images is mapping land cover alterations via change detection. If images for two different dates are not available from the same sensor, one has to use two sensors with different resolutions, and images or maps must be either upscaled or downscaled. We present a study based on two landcover maps produced for the agglomeration of Geneva, Switze...

Extraction of Field Boundary Information from Classified Satellite Images

Remotely sensed images and the thematic maps derived from such images are invaluable sources of information for GIS databases, in terms of providing spatial and temporal information about the nature of Earth surface materials and objects. One of the techniques that has emerged recently, and which has made a great impact on scientific community, is that of artificial neural networks (ANNs). ANNs...

Multi Resolution Fuzzy Segmentation of Satellite Images

Extraction of Field Boundary Information: Using Satellite Images Classified by Artificial Neural Networks

Remotely sensed images and the thematic maps derived from such images are invaluable sources of information for GIS databases, in terms of providing spatial and temporal information about the nature of Earth surface materials and objects. One of the techniques that has emerged recently, and which has made a great impact on scientific community, is that of artificial neural networks (ANNs). ANNs...

Ontology-based Land Degradation Assessment from Satellite Images

In this paper, we introduce the idea of documenting operational chains for land degradation assessment using ontologies. We believe that this will help end-users in better understanding the land degradation characteristics and evaluate the results of the assessment process. Since the application domain is wide, various operational chains for land degradation assessment and their associated docu...