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Found 4 papers, 0 papers with code
Leveraging power of deep learning for fast and efficient elite pixel selection in time series SAR interferometry
With significantly reduced time computation (order of minutes) and improved selection of elite pixels, the proposed models can efficiently process long InSAR time series stacks and generate rapid deformation maps.
Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions
While the increased use of AI in the manufacturing sector has been widely noted, there is little understanding on the risks that it may raise in a manufacturing organisation.
Learning semantic Image attributes using Image recognition and knowledge graph embeddings
In this paper, we propose a shared learning approach to learn semantic attributes of images by combining a knowledge graph embedding model with the recognized attributes of images.
Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing
However, pixel selection results, when compared to a combination of R-index and a classified image of the test dataset, reveal that CLSTM-ISS estimates improved the classification of PS and non-PS pixels compared to those of StaMPS and CNN-ISS.
