Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-4/W19, 45-50, 2011
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-4-W19/45/2011/
doi:10.5194/isprsarchives-XXXVIII-4-W19-45-2011
© Author(s) 2011. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
05 Sep 2012
HIGH RESOLUTION DSM AND CLASSIFIED VOLUMETRIC GENERATION: AN OPERATIONAL APPROACH TO THE IMPROVEMENT OF GEOSPATIAL INTELLIGENCE
P. Boccardo1 and G. Gentili2 1ITHACA/Politecnico di Torino, C.so Castelfidardo 30/A, Torino, Italy
2BLOM CGR S.p.A., Via Cremonese 35/A, Parma, Italy
Keywords: DSM, DTM, Digital Photogrammetry, 3D Model Abstract. As mentioned by Bacastow and Bellafiore, Geospatial Intelligence (GEOINT) is a field of knowledge, a process, and a profession. As knowledge, it is information integrated in a coherent space-time context that supports descriptions, explanations, or forecasts of human activities with which decision makers take action. As a process, it is the means by which data and information are collected, manipulated, geospatially reasoned, and disseminated to decision-makers. The geospatial intelligence professional establishes the scope of activities, interdisciplinary associations, competencies, and standards in academe, government, and the private sectors.
Taking into account the fact that GEOINT is crucial for broad organizations, BLOM Group, a leading International provider within acquisition, processing and modeling of geographic information and ITHACA, a non-profit organization devoted to products and services delivering to the UN System in the field of geomatics, set up and provided GEOINT data to the main Italian companies operating in the field of mobile phone networking.
This data, extremely useful for telecom network planning, have derived and produced using a standardized and effective (from the production point of view) approach. In this paper, all the procedures used for the production are described and tested with the aim to investigate the suitability of the data and the procedures themselves to any others possible fields of application.

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Citation: Boccardo, P. and Gentili, G.: HIGH RESOLUTION DSM AND CLASSIFIED VOLUMETRIC GENERATION: AN OPERATIONAL APPROACH TO THE IMPROVEMENT OF GEOSPATIAL INTELLIGENCE, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-4/W19, 45-50, doi:10.5194/isprsarchives-XXXVIII-4-W19-45-2011, 2011.

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