Home ›
Entities
› academia
› A Novel Deep Learning Framework by Combination of Subspace-Based Feature Extraction and Convolutional Neural Networks for Hyperspectral Images Classification
A Novel Deep Learning Framework by Combination of Subspace-Based Feature Extraction and Convolutional Neural Networks for Hyperspectral Images Classification
Research article (IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018) · cited 37× · AI/ML
A Novel Deep Learning Framework by Combination of Subspace-Based Feature Extraction and Convolutional Neural Networks for Hyperspectral Images Classification
Summary
A Novel Deep Learning Framework by Combination of Subspace-Based Feature Extraction and Convolutional Neural Networks for Hyperspectral Images Classification is a scholarly article[1].
Key Facts
A Novel Deep Learning Framework by Combination of Subspace-Based Feature Extraction and Convolutional Neural Networks for Hyperspectral Images 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). A Novel Deep Learning Framework by Combination of Subspace-Based Feature Extraction and Convolutional Neural Networks for Hyperspectral Images Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-deep-learning-framework-by-combination-of-subspace-based-feature-extraction-and-convolutional-neural-networks-fo
MLA“A Novel Deep Learning Framework by Combination of Subspace-Based Feature Extraction and Convolutional Neural Networks for Hyperspectral Images Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-deep-learning-framework-by-combination-of-subspace-based-feature-extraction-and-convolutional-neural-networks-fo.
BibTeX@misc{4ortxyz_a-novel-deep-learning-framework-by-combination-of-subspace-based-feature-extraction-and-convolutional-neural-networks-fo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Novel Deep Learning Framework by Combination of Subspace-Based Feature Extraction and Convolutional Neural Networks for Hyperspectral Images Classification}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-deep-learning-framework-by-combination-of-subspace-based-feature-extraction-and-convolutional-neural-networks-fo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Novel Deep Learning Framework by Combination of Subspace-Based Feature Extraction and Convolutional Neural Networks for Hyperspectral Images Classification — https://4ort.xyz/entity/a-novel-deep-learning-framework-by-combination-of-subspace-based-feature-extraction-and-convolutional-neural-networks-fo (retrieved 2026-05-24)
