JOURNAL ARTICLE
Spatial outlier detection method based on spatial clustering
Year: 2010 Journal: National Remote Sensing Bulletin Vol: 14 (5)Pages: 944-958 Publisher: Science Press
Abstract
æ出了一ç§åŸºäºŽèšç±»çš„空间异常探测方法。该方法通过空间èšç±»èŽ·å¾—å±€éƒ¨ç›¸å ³æ€§è¾ƒå¼ºçš„å®žä½“é›†åˆ,分别探测空间异常,给出了一ç§ç¨³å¥çš„空间异常度é‡æŒ‡æ ‡,æ高了异常探测结果的å¯é 性。通过实例验è¯ä»¥åŠä¸ŽSOM方法的比较分æž,è¯æ˜Žäº†è¯¥æ–¹æ³•çš„æ£ç¡®æ€§å’Œä¼˜è¶Šæ€§ã€‚
Keywords:
Cluster analysis Anomaly detection Computer science Spatial analysis Pattern recognition (psychology) Outlier Artificial intelligence Data mining Remote sensing Geography
Metrics
2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
16
Refs
0.53
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Citation History
Topics
Remote Sensing and Land Use
Physical Sciences → Earth and Planetary Sciences → Atmospheric Science
Regional Economic and Spatial Analysis
Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics