Name
Abstract | ||
|---|---|---|
Change over time in a geographic area is particularly important in Geographical Information applications. There has been a significant amount of research put forth in the development of change detection methods. Since geographical information frequently involves human interpretation and knowledge, which are incomplete, or not totally reliable, the problems associated with the areas of fuzziness and uncertainty are of great concern in image change detection.Based on satellite raster images the main effort of this paper is to investigate an intelligent approach that can perform fuzzy inference under uncertainty for image change detection. Since most geographic objects seem to be an abstraction of things that have unclear, fuzzy boundaries, the exact definitions are inadequate. In the paper, an image is interpreted as a fuzzy variable. The membership functions are self-specified in terms of the common statistical measures of an image. The introduction of a certainty factor is used to address issues associated with fuzziness and uncertainty. A hierarchical structure for the fuzzy inference is provided. The evaluation shows that this approach can provide significant results. |
Year | Venue | Keywords |
|---|---|---|
2003 | CISST'03: PROCEEDING OF THE INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS AND TECHNOLOGY, VOLS 1 AND 2 | geographical information systems, image change detection, fuzzy logic, fuzzy inference, uncertainty |
Field | DocType | Citations |
Change detection,Pattern recognition,Fuzzy classification,Defuzzification,Computer science,Fuzzy inference,Artificial intelligence,Adaptive neuro fuzzy inference system | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huiqing Yang | 1 | 0 | 0.68 |
| Maria Cobb | 2 | 103 | 12.68 |
| Dia Ali | 3 | 13 | 3.85 |
| Frederick E. Petry | 4 | 562 | 69.24 |
| Kevin Shaw | 5 | 0 | 0.34 |