Home › Entities › academia › Hyperspectral image classification by integrating attention-based LSTM and hybrid spectral networks

Hyperspectral image classification by integrating attention-based LSTM and hybrid spectral networks

Research article (International Journal of Remote Sensing, 2022) · cited 11× · AI/ML
academia openalex:W4285033662
Press Enter · cited answer in seconds

Hyperspectral image classification by integrating attention-based LSTM and hybrid spectral networks

Summary

Hyperspectral image classification by integrating attention-based LSTM and hybrid spectral networks is a scholarly article[1].

Key Facts

  • Hyperspectral image classification by integrating attention-based LSTM and hybrid spectral networks's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Hyperspectral image classification by integrating attention-based LSTM and hybrid spectral networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/hyperspectral-image-classification-by-integrating-attention-based-lstm-and-hybrid-spectral-networks
MLA “Hyperspectral image classification by integrating attention-based LSTM and hybrid spectral networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hyperspectral-image-classification-by-integrating-attention-based-lstm-and-hybrid-spectral-networks.
BibTeX @misc{4ortxyz_hyperspectral-image-classification-by-integrating-attention-based-lstm-and-hybrid-spectral-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hyperspectral image classification by integrating attention-based LSTM and hybrid spectral networks}}, year = {2026}, url = {https://4ort.xyz/entity/hyperspectral-image-classification-by-integrating-attention-based-lstm-and-hybrid-spectral-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hyperspectral image classification by integrating attention-based LSTM and hybrid spectral networks — https://4ort.xyz/entity/hyperspectral-image-classification-by-integrating-attention-based-lstm-and-hybrid-spectral-networks (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/hyperspectral-image-classification-by-integrating-attention-based-lstm-and-hybrid-spectral-networks · Last refreshed: