Comparing Correction Methods to Reduce Misclassification Bias-Reference-Cited by-同舟云学术

Comparing Correction Methods to Reduce Misclassification Bias

Published:2021 Issue: Volume: Page:64-90
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Kloos Kevin^ORCID,Meertens Quinten^ORCID,Scholtus Sander^ORCID,Karch Julian^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-76640-5_5

Reference21 articles.

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2. Burger, J., Delden, A.v., Scholtus, S.: Sensitivity of mixed-source statistics to classification errors. J. Offic. Stat. 31(3), 489–506 (2015). https://doi.org/10.1515/jos-2015-0029

3. Curier, R., et al.: Monitoring spatial sustainable development: semi-automated analysis of satellite and aerial images for energy transition and sustainability indicators. arXiv preprint arXiv:1810.04881 (2018)

4. Czaplewski, R.L.: Misclassification bias in areal estimates. Photogram. Eng. Remote Sens. 58(2), 189–192 (1992)

5. Czaplewski, R.L., Catts, G.P.: Calibration of remotely sensed proportion or area estimates for misclassification error. Remote Sens. Environ. 39(1), 29–43 (1992). https://doi.org/10.1016/0034-4257(92)90138-A

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