Automated Integration of Mineral Resource Data by Image Processing and Artificial Intelligence

作者: Andrea G. Fabbri , Tonis Kasvand

DOI: 10.1007/978-94-009-4029-1_13

关键词:

摘要: Resource assessment involves an overwhelming amount of information diverse nature and format. One the main challenges is trying to represent a problem in computational form either qualitatively or quantitatively. This paper describes application image processing artificial intelligence for integration data from maps other forms digital imagery.

参考文章(19)
T. Kasvand, A. G. Fabbri, Considerations on Pyramidal Pipelines for Spatial Analysis of Geoscience Map Data Springer, Berlin, Heidelberg. pp. 295- 311 ,(1985) , 10.1007/978-3-642-82150-9_17
Andrea G. Fabbri, Ralph Kretz, A Study of Two-Dimensional Grain Sequences in Rocks Computer Applications in the Earth Sciences. pp. 19- 41 ,(1988) , 10.1007/978-1-4684-7044-4_3
Andrea G. Fabbri, Ko B. Fung, Susan M. Yatabe, The Usage of Artificial Intelligence in Remote Sensing: A Review of Applications and Current Research Quantitative Analysis of Mineral and Energy Resources. pp. 489- 512 ,(1988) , 10.1007/978-94-009-4029-1_28
Richard B. McCammon, RECENT DEVELOPMENTS IN PROSPECTOR AND FUTURE EXPERT SYSTEMS IN REGIONAL RESOURCE EVALUATION. Proceedings - PECORA 9: Spatial Information Technologies for Remote Sensing Today and Tomorrow.. pp. 243- 248 ,(1984)
G. G. Pieroni, Herbert Freeman, Computer Architectures for Spatially Distributed Data ,(2011)
Daniel Francis Merriam, J. Thomas Hanley, Microcomputer Applications in Geology ,(1986)
Andrea G. Fabbri, Image processing of geological data ,(1984)
P. E. Hart, R. O. Duda, M. T. Einaudi, PROSPECTOR—A computer-based consultation system for mineral exploration Mathematical Geosciences. ,vol. 10, pp. 589- 610 ,(1978) , 10.1007/BF02461988