TWIN-TIER WITH LIFTING WAVELET APPROACH FOR FEATURE EXTRACTION OF SATELLITE IMAGES

Feature extraction methods are broadly being utilized in satellite imagery and standing out enough to be noticed for remote detecting applications. The best in class feature extraction strategies are fitting as indicated by the classifications and structures of the items to be distinguished. In view of particular calculations of each feature extraction technique, various kinds of images are chosen to assess the performance of the strategies. In this stage, we proposed Twin-Tier with Lifting Wavelet Approach for Feature Extraction of Satellite Images. The feature extraction process is accomplished by joining numerous features twin-tier feature extraction implies (statistical and GLCM) and Lifting Wavelet (LWT) features to assemble the feature vector. Two degrees of feature extraction distinguish fine features from the satellite images. The exploratory outcomes demonstrated the proposed approach gives an incredible outcome.