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AN OBJECT-ORIENTED APPROACH TO URBAN LAND COVER CHANGE DETECTION
Remote Sensing Urban Change Detection Segmentation Hierarchical Multitemporal
2016/1/3
Over the past decades, most of the remote sensing studies dealt with natural environment. The advance of remote sensing satellites and the innovative methods of proceeding high resolution images have ...
MERGING RANDOM FOREST CLASSIFICATION WITH AN OBJECT-ORIENTED APPROACH FOR ANALYSIS OF AGRICULTURAL LANDS
land use agriculture Landsat imagery segmentation Random Forest
2015/12/31
Machine learning algorithms recently have made major advances, with decision tree classifiers gaining wide acceptance. Boosting and bagging of decision trees have added to the predictive capabilities ...
Classification from airborne sar data enhanced by optical image using an object-oriented approach
Object-oriented Airborne SAR Segmentation
2015/8/21
Classification from Synthetic aperture radar(SAR) is known to be difficult because of the speckle and variation in scattering
coefficient with incidence angle, especially for high resolution airborne...
AN OBJECT ORIENTED APPROACH FOR THE DISCRIMINATION OF FOREST AREAS UNDER THE CRITERIA OF FOREST LEGISLATION IN GREECE USING VERY HIGH RESOLUTION DATA
Object-oriented Forest ecosystems Image fusion Logistic regression Nearest neighbor Segmentation
2015/8/19
The accurate discrimination of forest from natural non-forest areas in Greece presents great interest, since nowadays there is an ongoing effort to develop a Forest Cadastre system. We evaluated the p...
An object-oriented approach for agrivultural land classification using rapideye imagery
Object-oriented RapidEye Red Edge Agricultural Land Decision Tree
2015/7/27
With the improvement of remote sensing technology, the spatial, structural and texture information of land covers are present clearly in high resolution imagery, which enhances the ability of crop map...