ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data

Author:

Diakogiannis Foivos I.,Waldner François,Caccetta Peter,Wu Chen

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference86 articles.

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3. Segment-before-detect: vehicle detection and classification through semantic segmentation of aerial images;Audebert;Remote Sens.,2017

4. Audebert, N., Saux, B.L., Lefèvre, S., 2016. Semantic segmentation of earth observation data using multimodal and multi-scale deep networks. CoRR abs/1609.06846. http://arxiv.org/abs/1609.06846.

5. Baatz, M., Schäpe, A., 2000. Multiresolution segmentation: an optimization approach for high quality multi-scale image segmentation (ecognition), 12–23.

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