A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases

Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2021) · cited 24× · AI/ML
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A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases

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A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hierarchical-deep-learning-framework-for-the-consistent-classification-of-land-use-objects-in-geospatial-databases
MLA “A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hierarchical-deep-learning-framework-for-the-consistent-classification-of-land-use-objects-in-geospatial-databases.
BibTeX @misc{4ortxyz_a-hierarchical-deep-learning-framework-for-the-consistent-classification-of-land-use-objects-in-geospatial-databases_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases}}, year = {2026}, url = {https://4ort.xyz/entity/a-hierarchical-deep-learning-framework-for-the-consistent-classification-of-land-use-objects-in-geospatial-databases}, note = {Accessed: 2026-05-24}}
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