Anomaly Spot Recognition Method of Remote Sensing Image Based on Feature Extraction
In order to give full play to the higher market value of remote sensing image and realize the accurate recognition of abnormal spots in the image,the feature extraction technology is introduced to carry out the research on the abnormal spot recognition method of remote sensing image.Remote sensing image acquisition and preprocessing;Feature extraction technology is introduced to segment key regions of remote sensing images.The pattern texture feature is extracted from the segmented remote sensing image,and the abnormal information in the pattern is recognized according to the texture feature changes of different pattern spots.The methods in literature[1]and[3]were used as references to design comparative experiments.The experimental results proved that the proposed method based on feature extraction had good effect in application,and the method could accurately identify abnormal spots in remote sensing images and realize the annotation of abnormal spots.
万方数据
维普
