no code implementations • 10 Jun 2020 • Ananya Gupta, Simon Watson, Hujun Yin
Experimental results show that pretraining on ImageNet usually improves the segmentation performance for a number of models.
no code implementations • 10 Jun 2020 • Ananya Gupta, Elisabeth Welburn, Simon Watson, Hujun Yin
Graph theory is combined with the CNN output for detecting semantic changes in road networks with OpenStreetMap data.
no code implementations • 9 Jun 2020 • Ananya Gupta, Simon Watson, Hujun Yin
Driven by the insight that 3D data is inherently sparse, we visualise the features learnt by a voxel-based classification network and show that these features are also sparse and can be pruned relatively easily, leading to more efficient neural networks.
no code implementations • 9 Jun 2020 • Ananya Gupta, Jonathan Byrne, David Moloney, Simon Watson, Hujun Yin
The third method is a scaled version of the PointNet++ method and works directly on outdoor point clouds and achieves an F_score of 82. 1% on the ISPRS benchmark dataset, comparable to the state-of-the-art methods but with increased efficiency.
no code implementations • 30 Aug 2019 • Ananya Gupta, Yao Peng, Simon Watson, Hujun Yin
A semantic feature extraction method for multitemporal high resolution aerial image registration is proposed in this paper.
2 code implementations • 23 Aug 2018 • Philip Bechtle, Mark Schelbergen, Roland Schmehl, Udo Zillmann, Simon Watson
Over the land mass and coastal areas of Europe we find that compared to a fixed harvesting altitude at the approximate hub height of wind turbines, the energy yield which is available for 95% of the time increases by a factor of two.
Atmospheric and Oceanic Physics