Vegetation Detection of Close-Range Images Based on Texture Features and Naive Bayes Classifier

Considering of the problems of serious effects caused by vegetation on automatic landslide monitoring in close-range photogrammetry,we present a method of detecting vegetation regions in landslide images based on texture features and naive Bayes classifier.Some meaningful discussions and analysis have been done mainly for the effectiveness of this algorithm,image contrast stretching and the generality problem of samples training.Comparing with another detection method based on visual cognition features,we prove the availability and the validity of this method.The experimental results show that the vegetation detection method can almost detect the vegetation regions from close-range images and the result is satisfying.