Home ›
Entities
› academia
› A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture
A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture
Research article (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024) · cited 64× · AI/ML
A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture
Summary
A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture is a scholarly article[1].
Key Facts
A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture'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 Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-deep-learning-architecture-for-agriculture-land-cover-and-land-use-classification-from-remote-sensing-images-bas
MLA“A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-deep-learning-architecture-for-agriculture-land-cover-and-land-use-classification-from-remote-sensing-images-bas.
BibTeX@misc{4ortxyz_a-novel-deep-learning-architecture-for-agriculture-land-cover-and-land-use-classification-from-remote-sensing-images-bas_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-deep-learning-architecture-for-agriculture-land-cover-and-land-use-classification-from-remote-sensing-images-bas}, 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 Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture — https://4ort.xyz/entity/a-novel-deep-learning-architecture-for-agriculture-land-cover-and-land-use-classification-from-remote-sensing-images-bas (retrieved 2026-05-24)
