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Scale‐space theory‐based multi‐scale features for aircraft classification using HRRP

Research article (Electronics Letters, 2016) · cited 31× · AI/ML
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Summary

Scale‐space theory‐based multi‐scale features for aircraft classification using HRRP is a scholarly article[1].

Key Facts

  • Scale‐space theory‐based multi‐scale features for aircraft classification using HRRP's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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). Scale‐space theory‐based multi‐scale features for aircraft classification using HRRP. Retrieved May 24, 2026, from https://4ort.xyz/entity/scalespace-theorybased-multiscale-features-for-aircraft-classification-using-hrrp
MLA “Scale‐space theory‐based multi‐scale features for aircraft classification using HRRP.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/scalespace-theorybased-multiscale-features-for-aircraft-classification-using-hrrp.
BibTeX @misc{4ortxyz_scalespace-theorybased-multiscale-features-for-aircraft-classification-using-hrrp_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Scale‐space theory‐based multi‐scale features for aircraft classification using HRRP}}, year = {2026}, url = {https://4ort.xyz/entity/scalespace-theorybased-multiscale-features-for-aircraft-classification-using-hrrp}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Scale‐space theory‐based multi‐scale features for aircraft classification using HRRP — https://4ort.xyz/entity/scalespace-theorybased-multiscale-features-for-aircraft-classification-using-hrrp (retrieved 2026-05-24)

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