Home ›
Entities
› academia
› Full-Learning Rotational Quaternion Convolutional Neural Networks and Confluence of Differently Represented Data for PolSAR Land Classification
Full-Learning Rotational Quaternion Convolutional Neural Networks and Confluence of Differently Represented Data for PolSAR Land Classification
Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022) · cited 10× · AI/ML
Full-Learning Rotational Quaternion Convolutional Neural Networks and Confluence of Differently Represented Data for PolSAR Land Classification
Summary
Full-Learning Rotational Quaternion Convolutional Neural Networks and Confluence of Differently Represented Data for PolSAR Land Classification is a scholarly article[1].
Key Facts
Full-Learning Rotational Quaternion Convolutional Neural Networks and Confluence of Differently Represented Data for PolSAR Land Classification's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Full-Learning Rotational Quaternion Convolutional Neural Networks and Confluence of Differently Represented Data for PolSAR Land Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/full-learning-rotational-quaternion-convolutional-neural-networks-and-confluence-of-differently-represented-data-for-pol
MLA“Full-Learning Rotational Quaternion Convolutional Neural Networks and Confluence of Differently Represented Data for PolSAR Land Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/full-learning-rotational-quaternion-convolutional-neural-networks-and-confluence-of-differently-represented-data-for-pol.
BibTeX@misc{4ortxyz_full-learning-rotational-quaternion-convolutional-neural-networks-and-confluence-of-differently-represented-data-for-pol_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Full-Learning Rotational Quaternion Convolutional Neural Networks and Confluence of Differently Represented Data for PolSAR Land Classification}}, year = {2026}, url = {https://4ort.xyz/entity/full-learning-rotational-quaternion-convolutional-neural-networks-and-confluence-of-differently-represented-data-for-pol}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Full-Learning Rotational Quaternion Convolutional Neural Networks and Confluence of Differently Represented Data for PolSAR Land Classification — https://4ort.xyz/entity/full-learning-rotational-quaternion-convolutional-neural-networks-and-confluence-of-differently-represented-data-for-pol (retrieved 2026-05-24)