Bibliography on spatiotemporal databases |
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| Authors: | Khaled K Al-Taha Richard T Snodgrass Michael D Soo |
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| Institution: | 1. Remote Sensing and Image Processing Laboratory, Louisiana State University , 3221 CEBA, Baton Rouge, LA, 70803, U.S.A;2. Department of Computer Science , University of Arizona , Tucson, AZ, 85721, U.S.A. |
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| Abstract: | Abstract There now exist several microcomputer processing systems which incorporate algorithms and display techniques appropriate for the class of objects known as images. Zooming, histogram equalization, contrast stretching, ratioing, edge enhancement, and filtering are common options used in these systems. In the present discussion a system is proposed for the equivalent processing of general resolution elements (resells), instead of the homogeneous picture elements (pixels) which are found in image processing systems. The resel processing system requires a new, generalized, repertoire of processing algorithms and a high resolution display. A summary is provided of the facilities and procedures required, a computational metaphor using computer spreadsheets is described, and the applicability to censels (census data elements) and to medical data is suggested. |
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