In line generalization, a first goal to achieve is the classification of features previous to the
selection of processes and parameters. A feed forward backpropagation artificial neural …

The confusion matrix is the standard way to report on the thematic accuracy of geographic
information data. Two widely adopted indices for thematic accuracy controls upon error matrix …

The confusion matrix is the standard way to report on the thematic accuracy of geographic
data (spatial databases, topographic maps, thematic maps, classified images, remote sensing …

This paper presents an application of the ISO 19157 framework to the case of a point cloud (PC)
representing a heritage asset whose purpose is to serve specific use cases that could …

The uncertainty evaluation of survey measurements is a daily and essential task in any
surveying work. The result of a measurement is, in fact, only complete when accompanied by a …

Cartographic generalization is one of the main difficulties when dealing with digital cartography
and GIS. First works on automatic generalization of linear features were mainly devoted …

In line generalization, results depend very much on the characteristics of the line. For this
reason it would be useful to obtain an automatic segmentation and enrichment of lines in order …

In line generalization, results depend very much on the characteristics of the line in question.
For this reason it would be useful to obtain an automatic segmentation and enrichment of …

The error matrix has been adopted as both the “de facto” and the “de jure” standard way to
report on the thematic accuracy assessment of any remotely sensed data product. This …

… early disappearance of every record of Balboa's discovery is explicable only by deliberate …
other chroniclers for he was named executor of Balboa's estate - which included his papers -- …