A data mining approach for multivariate outlier detection in heterogeneous 2D point clouds: An application to post-processing of multi-temporal InSAR results

M. Bakon, I. Oliveira, Daniele Perissin, J. Sousa, J. Papco. A data mining approach for multivariate outlier detection in heterogeneous 2D point clouds: An application to post-processing of multi-temporal InSAR results. In 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, Beijing, China, July 10-15, 2016. pages 56-59, IEEE, 2016. [doi]

@inproceedings{BakonOPSP16,
  title = {A data mining approach for multivariate outlier detection in heterogeneous 2D point clouds: An application to post-processing of multi-temporal InSAR results},
  author = {M. Bakon and I. Oliveira and Daniele Perissin and J. Sousa and J. Papco},
  year = {2016},
  doi = {10.1109/IGARSS.2016.7729005},
  url = {http://dx.doi.org/10.1109/IGARSS.2016.7729005},
  researchr = {https://researchr.org/publication/BakonOPSP16},
  cites = {0},
  citedby = {0},
  pages = {56-59},
  booktitle = {2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, Beijing, China, July 10-15, 2016},
  publisher = {IEEE},
  isbn = {978-1-5090-3332-4},
}