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ROOFN3D: DEEP LEARNING TRAINING DATA FOR 3D BUILDING RECONSTRUCTION
3D Database Machine Learning 3D Building Models Classification Segmentation Reconstruction
2018/6/5
Machine learning methods have gained in importance through the latest development of artificial intelligence and computer hardware. Particularly approaches based on deep learning have shown that they ...
BALANCED VS IMBALANCED TRAINING DATA:CLASSIFYING RAPIDEYE DATA WITH SUPPORT VECTOR MACHINES
Land cover classification Imbalanced training data Support Vector Machines RapidEye Agriculture
2016/11/23
The accuracy of supervised image classification is highly dependent upon several factors such as the design of training set (sample selection, composition, purity and size), resolution of input imager...
AUTOMATIC GENERATION OF TRAINING DATA FOR HYPERSPECTRAL IMAGE CLASSIFICATION USING SUPPORT VECTOR MACHINE
High resolution DSM Hyperspectral
2015/5/6
An image classification method based on Support Vector Machine (SVM) is proposed on hyperspectral and 3K DSM data. To obtain training data we applied an automatic method relating to four classes nam...
Estimating Percent Tree Cover Using Regression Tree Method with Very-High-Resolution QuickBird Images as Training Data
tree cover regression tree method QuickBird
2009/3/17
The estimation of tree cover area at continental scale is becoming more important than before due to the needs to improve our understanding of carbon dynamics. The estimation of percent tree cover of ...