Tag: deep convolutional neural networks
A fully learnable context-driven object-based model for mapping land cover using multi-view data from unmanned aircraft systems
July 13, 2018Abstract: Context information is rarely used in the object-based landcover classification. Previous models that attempted to utilize this information usually required the user to input empirical values for critical model parameters, leading to less optimal performance. Multi-view image information is useful for improving classification accuracy, but the methods to assimilate multi-view information to make it […]
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