Home › Entities › academia › A Deep Learning Hybrid CNN Framework Approach for Vegetation Cover Mapping Using Deep Features

A Deep Learning Hybrid CNN Framework Approach for Vegetation Cover Mapping Using Deep Features

Research article (2017 13th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2017) · cited 49× · AI/ML
academia openalex:W2797988436
Press Enter · cited answer in seconds

A Deep Learning Hybrid CNN Framework Approach for Vegetation Cover Mapping Using Deep Features

Summary

A Deep Learning Hybrid CNN Framework Approach for Vegetation Cover Mapping Using Deep Features is a scholarly article[1].

Key Facts

  • A Deep Learning Hybrid CNN Framework Approach for Vegetation Cover Mapping Using Deep Features'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). A Deep Learning Hybrid CNN Framework Approach for Vegetation Cover Mapping Using Deep Features. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-learning-hybrid-cnn-framework-approach-for-vegetation-cover-mapping-using-deep-features
MLA “A Deep Learning Hybrid CNN Framework Approach for Vegetation Cover Mapping Using Deep Features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-learning-hybrid-cnn-framework-approach-for-vegetation-cover-mapping-using-deep-features.
BibTeX @misc{4ortxyz_a-deep-learning-hybrid-cnn-framework-approach-for-vegetation-cover-mapping-using-deep-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Deep Learning Hybrid CNN Framework Approach for Vegetation Cover Mapping Using Deep Features}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-hybrid-cnn-framework-approach-for-vegetation-cover-mapping-using-deep-features}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Deep Learning Hybrid CNN Framework Approach for Vegetation Cover Mapping Using Deep Features — https://4ort.xyz/entity/a-deep-learning-hybrid-cnn-framework-approach-for-vegetation-cover-mapping-using-deep-features (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-deep-learning-hybrid-cnn-framework-approach-for-vegetation-cover-mapping-using-deep-features · Last refreshed: