Home ›
Entities
› academia
› Feature extraction & classification of hyperspectral images using singular spectrum analysis & multinomial logistic regression classifiers
Feature extraction & classification of hyperspectral images using singular spectrum analysis & multinomial logistic regression classifiers
Research article (2017 International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT), 2017) · cited 21× · AI/ML
Feature extraction & classification of hyperspectral images using singular spectrum analysis & multinomial logistic regression classifiers
Summary
Feature extraction & classification of hyperspectral images using singular spectrum analysis & multinomial logistic regression classifiers is a scholarly article[1].
Key Facts
Feature extraction & classification of hyperspectral images using singular spectrum analysis & multinomial logistic regression classifiers'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). Feature extraction & classification of hyperspectral images using singular spectrum analysis & multinomial logistic regression classifiers. Retrieved May 24, 2026, from https://4ort.xyz/entity/feature-extraction-amp-classification-of-hyperspectral-images-using-singular-spectrum-analysis-amp-multinomial-logistic-
MLA“Feature extraction & classification of hyperspectral images using singular spectrum analysis & multinomial logistic regression classifiers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feature-extraction-amp-classification-of-hyperspectral-images-using-singular-spectrum-analysis-amp-multinomial-logistic-.
BibTeX@misc{4ortxyz_feature-extraction-amp-classification-of-hyperspectral-images-using-singular-spectrum-analysis-amp-multinomial-logistic-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feature extraction & classification of hyperspectral images using singular spectrum analysis & multinomial logistic regression classifiers}}, year = {2026}, url = {https://4ort.xyz/entity/feature-extraction-amp-classification-of-hyperspectral-images-using-singular-spectrum-analysis-amp-multinomial-logistic-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Feature extraction & classification of hyperspectral images using singular spectrum analysis & multinomial logistic regression classifiers — https://4ort.xyz/entity/feature-extraction-amp-classification-of-hyperspectral-images-using-singular-spectrum-analysis-amp-multinomial-logistic- (retrieved 2026-05-24)
