Home ›
Entities
› academia
› The Classification of Noise-Afflicted Remotely Sensed Data Using Three Machine-Learning Techniques: Effect of Different Levels and Types of Noise on Accuracy
The Classification of Noise-Afflicted Remotely Sensed Data Using Three Machine-Learning Techniques: Effect of Different Levels and Types of Noise on Accuracy
Research article (ISPRS International Journal of Geo-Information, 2018) · cited 39× · AI/ML
The Classification of Noise-Afflicted Remotely Sensed Data Using Three Machine-Learning Techniques: Effect of Different Levels and Types of Noise on Accuracy
Summary
The Classification of Noise-Afflicted Remotely Sensed Data Using Three Machine-Learning Techniques: Effect of Different Levels and Types of Noise on Accuracy is a scholarly article[1].
Key Facts
The Classification of Noise-Afflicted Remotely Sensed Data Using Three Machine-Learning Techniques: Effect of Different Levels and Types of Noise on Accuracy'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 Classification of Noise-Afflicted Remotely Sensed Data Using Three Machine-Learning Techniques: Effect of Different Levels and Types of Noise on Accuracy. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-classification-of-noise-afflicted-remotely-sensed-data-using-three-machine-learning-techniques-effect-of-different-l
MLA“The Classification of Noise-Afflicted Remotely Sensed Data Using Three Machine-Learning Techniques: Effect of Different Levels and Types of Noise on Accuracy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-classification-of-noise-afflicted-remotely-sensed-data-using-three-machine-learning-techniques-effect-of-different-l.
BibTeX@misc{4ortxyz_the-classification-of-noise-afflicted-remotely-sensed-data-using-three-machine-learning-techniques-effect-of-different-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The Classification of Noise-Afflicted Remotely Sensed Data Using Three Machine-Learning Techniques: Effect of Different Levels and Types of Noise on Accuracy}}, year = {2026}, url = {https://4ort.xyz/entity/the-classification-of-noise-afflicted-remotely-sensed-data-using-three-machine-learning-techniques-effect-of-different-l}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The Classification of Noise-Afflicted Remotely Sensed Data Using Three Machine-Learning Techniques: Effect of Different Levels and Types of Noise on Accuracy — https://4ort.xyz/entity/the-classification-of-noise-afflicted-remotely-sensed-data-using-three-machine-learning-techniques-effect-of-different-l (retrieved 2026-05-24)
