• Title/Summary/Keyword: 디지탈기술응용

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A Discussion of the Two Alternative Methods for Quantifying Changes : by Pixel Values Versus by Thematic Categories (변화의 정량화 방법에 관한 고찰 : 픽셀값 대 분류항목별)

  • Choung, Song-Hak
    • Journal of Korean Society for Geospatial Information Science
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    • v.1 no.1 s.1
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    • pp.193-201
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    • 1993
  • In a number of areas, there are important benefits to be gained when we bring both the detection and monitoring abilities of remote sensing as well as the philosophical approach and analytic capabilities of a geographic information system to bear on a problem. A key area in the joint applications of remote sensing technology and GIS is to identify change. Whether this change is of interest for its own sake, or because the change causes us to act (for example, to update a map), remote sensing provides an excellent suite of tools for detecting change. At the same time, a GIS is perhaps the best analytic toot for quantifying the process of change. There are two alternative methods for quantifying changes. The conceptually simple approach is to un the pixel values in each of the images. This method is practical but may be too simple to identify the variety of changes in a complex scene. The common alternative is called symbolic change detection. The analyst first decides on a set of thematic categories that are important to distinguish for the application. This approach is useful only if accurate landuse/cover classifications can be obtained. Persons conducting digital change detection must be intimately familiar with the environment under study, the quality of the data set and the characteristics of change detection algorithms. Also, much work remains to identify optimum change detection algorithms for specific geographic areas and problems.

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