On Decision Tree Algorithm of Wetland Information Extraction Based on Complex Transformation

Being unique in various environmental functions and ecological effects,wetlands have been playing an extremely important role in keeping the ecological balance of the earth surface,and for this reason it gets great concern.How to acquire the basic information of wetlands rapidly and accurately becomes very crucial.This paper comes up with a method of getting the information of wetlands,which takes the wetlands along-Yantze and lakes in Anqing city as an example,and various transformation techniques like HSV,IHS,LBV,K-T and sample analysis were taken on the TM images of the study area and then building new indexes and spectral relationships.The decision tree model was also established.The method referred to above turned out to be rapid,accurate and objective,and can provide accurate basic data for wetlands research.