ABSTRACT This paper deals with how to correct distortions on high resolution satellite images and... more ABSTRACT This paper deals with how to correct distortions on high resolution satellite images and optimized cartographic feature extraction. It is shown, for an Ikonos satellite image that subpixel accuracy can be obtained using rational functions with only a few accurate ground control points. These control points are taken as the centres of road roundabouts, tennis courses, swimming pools and other cartographic features using least square, for greater precision in ground-image matching. The radiometric quality is also studied, in order to examine Ikonos visualization capability and consequently the potential for map updating.
This paper defines a methodology for change detection between two multi-spectral imageries taken ... more This paper defines a methodology for change detection between two multi-spectral imageries taken on two different dates with two different sensors: SPOT-5 and FORMOSAT-2. The characteristics of the imageries are explored to obtain the maximum advantage for change detection, showing how the right combination of bands helps bring out the nature of changes. A methodology is proposed on how to use probability layers instead of the thematic map classification. Results show the advantages of using the probability layer of a supervised classification for green vegetation; this layer provides a useful tool for the analysis of changes in vegetation and buildings.
ABSTRACT This paper deals with how to correct distortions on high resolution satellite images and... more ABSTRACT This paper deals with how to correct distortions on high resolution satellite images and optimized cartographic feature extraction. It is shown, for an Ikonos satellite image that subpixel accuracy can be obtained using rational functions with only a few accurate ground control points. These control points are taken as the centres of road roundabouts, tennis courses, swimming pools and other cartographic features using least square, for greater precision in ground-image matching. The radiometric quality is also studied, in order to examine Ikonos visualization capability and consequently the potential for map updating.
This paper defines a methodology for change detection between two multi-spectral imageries taken ... more This paper defines a methodology for change detection between two multi-spectral imageries taken on two different dates with two different sensors: SPOT-5 and FORMOSAT-2. The characteristics of the imageries are explored to obtain the maximum advantage for change detection, showing how the right combination of bands helps bring out the nature of changes. A methodology is proposed on how to use probability layers instead of the thematic map classification. Results show the advantages of using the probability layer of a supervised classification for green vegetation; this layer provides a useful tool for the analysis of changes in vegetation and buildings.
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