Home ›
Entities
› academia
› The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data
The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data
Research article (ISPRS International Journal of Geo-Information, 2016) · cited 91× · AI/ML
The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data
Summary
The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data is a scholarly article[1].
Key Facts
The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data'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). The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-sensitivity-of-mapping-methods-to-reference-data-quality-training-supervised-image-classifications-with-imperfect-re
MLA“The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-sensitivity-of-mapping-methods-to-reference-data-quality-training-supervised-image-classifications-with-imperfect-re.
BibTeX@misc{4ortxyz_the-sensitivity-of-mapping-methods-to-reference-data-quality-training-supervised-image-classifications-with-imperfect-re_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data}}, year = {2026}, url = {https://4ort.xyz/entity/the-sensitivity-of-mapping-methods-to-reference-data-quality-training-supervised-image-classifications-with-imperfect-re}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data — https://4ort.xyz/entity/the-sensitivity-of-mapping-methods-to-reference-data-quality-training-supervised-image-classifications-with-imperfect-re (retrieved 2026-05-24)