How Useful is Region-based Classification of Remote Sensing Images in a Deep Learning Framework?

22 Sep 2016Nicolas AudebertBertrand Le SauxSébastien Lefèvre

In this paper, we investigate the impact of segmentation algorithms as a preprocessing step for classification of remote sensing images in a deep learning framework. Especially, we address the issue of segmenting the image into regions to be classified using pre-trained deep neural networks as feature extractors for an SVM-based classifier... (read more)

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