Home ›
Entities
› academia
› A data mining approach for multivariate outlier detection in heterogeneous 2D point clouds: An application to post-processing of multi-temporal InSAR results
A data mining approach for multivariate outlier detection in heterogeneous 2D point clouds: An application to post-processing of multi-temporal InSAR results
Research article (2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016) · cited 10× · AI/ML
A data mining approach for multivariate outlier detection in heterogeneous 2D point clouds: An application to post-processing of multi-temporal InSAR results
Summary
A data mining approach for multivariate outlier detection in heterogeneous 2D point clouds: An application to post-processing of multi-temporal InSAR results is a scholarly article[1].
Key Facts
A data mining approach for multivariate outlier detection in heterogeneous 2D point clouds: An application to post-processing of multi-temporal InSAR results'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 data mining approach for multivariate outlier detection in heterogeneous 2D point clouds: An application to post-processing of multi-temporal InSAR results. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-data-mining-approach-for-multivariate-outlier-detection-in-heterogeneous-2d-point-clouds-an-application-to-post-proces
MLA“A data mining approach for multivariate outlier detection in heterogeneous 2D point clouds: An application to post-processing of multi-temporal InSAR results.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-data-mining-approach-for-multivariate-outlier-detection-in-heterogeneous-2d-point-clouds-an-application-to-post-proces.
BibTeX@misc{4ortxyz_a-data-mining-approach-for-multivariate-outlier-detection-in-heterogeneous-2d-point-clouds-an-application-to-post-proces_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A data mining approach for multivariate outlier detection in heterogeneous 2D point clouds: An application to post-processing of multi-temporal InSAR results}}, year = {2026}, url = {https://4ort.xyz/entity/a-data-mining-approach-for-multivariate-outlier-detection-in-heterogeneous-2d-point-clouds-an-application-to-post-proces}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A data mining approach for multivariate outlier detection in heterogeneous 2D point clouds: An application to post-processing of multi-temporal InSAR results — https://4ort.xyz/entity/a-data-mining-approach-for-multivariate-outlier-detection-in-heterogeneous-2d-point-clouds-an-application-to-post-proces (retrieved 2026-05-24)
