Home ›
Entities
› academia
› GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines
GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines
Research article (IEEE Transactions on Geoscience and Remote Sensing, 2021) · cited 55× · AI/ML
GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines
Summary
GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines is a scholarly article[1].
Key Facts
GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines'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). GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines. Retrieved May 24, 2026, from https://4ort.xyz/entity/gpri2net-a-deep-neural-network-based-ground-penetrating-radar-data-inversion-and-object-identification-framework-for-con
MLA“GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gpri2net-a-deep-neural-network-based-ground-penetrating-radar-data-inversion-and-object-identification-framework-for-con.
BibTeX@misc{4ortxyz_gpri2net-a-deep-neural-network-based-ground-penetrating-radar-data-inversion-and-object-identification-framework-for-con_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines}}, year = {2026}, url = {https://4ort.xyz/entity/gpri2net-a-deep-neural-network-based-ground-penetrating-radar-data-inversion-and-object-identification-framework-for-con}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines — https://4ort.xyz/entity/gpri2net-a-deep-neural-network-based-ground-penetrating-radar-data-inversion-and-object-identification-framework-for-con (retrieved 2026-05-24)
