Geospatial Information Research: State of the Art, Case Studies and Future Perspectives.

J Photogramm Remote Sens Geoinform Sci · 2022 · PMC9484357 · PMID 36158628

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a strong trendno p-value reported

Concerning methodologies and strategies for learning, there is a strong trend from traditional statistical methods, particularly, graphical models such as Markov Random Fields (MRF) and Conditional Random Fields (CRF), which are now often only used for post-processing, towards all kinds of neural networks.

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