KNOWLEDGE-BASED EVIDENTIAL REASONING ANALYSIS OF IMAGING SPECTROMETER DATA
作者： Wang Runsheng , Guo Xiaofang , Gao Ping , Cui Yan
DOI:
关键词: Level of measurement 、 Mathematics 、 Theory of evidence 、 Classifier (UML) 、 Statistical theory 、 Imaging spectrometer 、 Data mining 、 Evidential reasoning approach
摘要: Traditional classifier based on statistical theory can't be used to comprehensively deal with spectral indexes different knowledge backgrounds and at scales of measurement, meet the needs quantitatively analyzing Imaging Spectrometer data. This paper introduces knowledge-based evidential reasoning analysis data Dempster -Shafer Theory Evidence. Testing results show that is a more effective approach comprehensive ly measurement. The accuracy identifying ground objects can effectively improved.
参考文章(6)
D. R. Peddle, Knowledge formulation for supervised evidential classification Photogrammetric Engineering and Remote Sensing. ,vol. 61, pp. 409- 417 ,(1995)
Derek R. Peddle, An Empirical Comparison of Evidential Reasoning, Linear Discriminant Analysis, and Maximum Likelihood Algorithms for Alpine Land Cover Classification Canadian Journal of Remote Sensing. ,vol. 19, pp. 031- 044 ,(1993) , 10.1080/07038992.1993.10855148
Derek R. Peddle, Giles M. Foody, Airong Zhang, Steven E. Franklin, Ellsworth F. LeDrew, Multi-Source Image Classification II: An Empirical Comparison of Evidential Reasoning and Neural Network Approaches Canadian Journal of Remote Sensing. ,vol. 20, pp. 396- 407 ,(1994) , 10.1080/07038992.1994.10874582
Jean Gordon, Edward H. Shortliffe, A method for managing evidential reasoning in a hierarchical hypothesis space Artificial Intelligence. ,vol. 26, pp. 323- 357 ,(1985) , 10.1016/0004-3702(85)90064-5
Wooil M. Moon, Integration Of Geophysical And Geological Data Using Evidential Belief Function IEEE Transactions on Geoscience and Remote Sensing. ,vol. 28, pp. 711- 720 ,(1990) , 10.1109/TGRS.1990.572988
P. Gong, Integrated Analysis of Spatial Data from Multiple Sources: Using Evidential Reasoning and Artificial Neural Network Techniques for Geological Mapping Photogrammetric Engineering and Remote Sensing. ,vol. 62, pp. 513- 523 ,(1996)