Analyse of Remotely Sensed Imagery Base of Spatial Data Mining
Li She, Ziyu Lin · Geomatics & Spatial Information Technology · 2005
Data mining and knowledge discovery from a large amount of image data such as remote sensing images has become highly required in recent years.The association rule discovery problem in particular has been widely studied.This paper presents preliminary discuss in using data mining techniques to find interesting multidimensional and quantitative association rule from remotely sensed data and study mainly base way of data mining of association rule in analyse of remotely sensed imagery.Finally,it discusses the data mining techniques,such as decision tree and artificial neural network.