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Supporting Quality-Based Image Retrieval Through User Preference Learning
2004
Photogrammetric Engineering and Remote Sensing
It is common for modern geospatial libraries to contain multiple datasets that cover the same area but differ only in some specific quality attributes (e.g., resolution and precision). This is affecting the concept of content-based geospatial queries, as simple coverage-based query mechanisms (e.g., declaring a specific area of interest) as well as theme-based query mechanisms (e.g., requesting a black and white aerial photo or multispectral satellite imagery) are rendered inadequate to
doi:10.14358/pers.70.8.973
fatcat:m6gqo7a6xrbgpoer7dpqlpra2e