September 19, 2001 Conference paper Open Access

Camara, Gilberto; Egenhofer, Max; Fonseca, Fred; Monteiro, Miguel

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  "doi": "10.1007/3-540-45424-1_32", 
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    "description": "<p>This paper discusses the ontological status of remote sensing images, from a GIScience perspective. We argue that images have a dual nature&mdash;they are fields at the measurement level and fiat objects at the classification level&mdash;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&nbsp;<em>field</em>&nbsp;and&nbsp;<em>object</em>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&nbsp;<em>multiple</em>&nbsp;<em>perspectives for the same image</em>&nbsp;and (2) an emphasis on using images for the detection of&nbsp;<em>spatial-temporal configurations of geographic</em><em>phenomena</em>.</p>", 
    "license": {
      "id": "CC-BY-4.0"
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    "title": "What's in an image?", 
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    "keywords": [
      "Ontology,  Remote sensing, Domain Ontology, Geographic information systems,   Remote Sensing Image     Object     Configuration     Design"
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    "publication_date": "2001-09-19", 
    "creators": [
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        "orcid": "0000-0002-3681-487X", 
        "affiliation": "INPE (National Institute for Space Research), Brazil", 
        "name": "Camara, Gilberto"
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      {
        "orcid": "0000-0002-2113-6164", 
        "affiliation": "University of Maine", 
        "name": "Egenhofer, Max"
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      {
        "affiliation": "Penn State University", 
        "name": "Fonseca, Fred"
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      {
        "affiliation": "INPE (National Institute for Space Research), Brazil", 
        "name": "Monteiro, Miguel"
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    "meeting": {
      "acronym": "COSIT 2001", 
      "dates": "2001-09-19", 
      "place": "Morro Bay, United States", 
      "title": "5th International Conference on Spatial Information Theory -"
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