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Updating topographic geospatial databases is often performed based on current remotely sensed images. To automatically extract the object information (labels) from the images, supervised classifiers a...
Geographic information systems (GIS) are dependent on accurate and up-to-date data sets. The manual revision of GIS data is very cost and time consuming. On the other hand more and more high resolutio...
In Remote Sensing the various bands of multispectral data have not the same relevance in order to identify pixels inside a specific land cover class. The band algebra combines different images in orde...
Passive Remote Sensing is multi-spectral, rapid and high resolution, but it is very easily influenced by intended to the atmosphere conditions, such as fog and haze. In the past, there have been many ...
Statistical analysis is a widely used traditional technique for classification and discrimination in remotely sensed images, which supposes that there is only one endmember in an image pixel. Howeve...
The paper shows possibility to classify B&W aerial orthophotographs and other monochromatic remote sensing data using image enhancement phase and object-oriented analysis phase for the automatic cla...
This paper examines the influence of data fusion and wavelet compression on the automatic classification of urban environments. The principal data used is airborne Daedalus scanner imagery. Laser scan...

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