Ontology-driven geographic information systems
Proceedings of the 7th ACM international symposium on Advances in geographic information systems
Introductory Digital Image Processing: A Geographic Perspective
Introductory Digital Image Processing: A Geographic Perspective
SCIE '97 International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
People Manipulate Objects (but Cultivate Fields): Beyond the Raster-Vector Debate in GIS
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
ISD '99 Selected Papers from the International Workshop on Integrated Spatial Databases, Digital Inages and GIS
Remote Sensing and Image Interpretation
Remote Sensing and Image Interpretation
Mining Patterns of Change in Remote Sensing Image Databases
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
An evolutionary patch pattern approach for texture discrimination
Pattern Recognition
Remote-sensing image mining: detecting agents of land-use change in tropical forest areas
International Journal of Remote Sensing
Human-computer interaction for the generation of image processing applications
International Journal of Human-Computer Studies
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This paper discusses the ontological status of remote sensing images, from a GIScience perspective. We argue that images have a dual nature--they are fields at the measurement level and fiat objects at the classification level--and that images have an ontological description of their own, distinct and independent from the domain ontology a domain scientist uses. This paper proposes a multi-level ontology for images, combining both field and object approaches and distinguishing between image and user ontologies. The framework developed contributes to the design of a new generation of integrated GISs, since two key benefits are achieved: (1) the support for multiple perspectives for the same image and (2) an emphasis on using images for the detection of spatial-temporal configurations of geographic phenomena.