Assessment of Performance of Tree-Based Algorithms to Reduce Errors of Omisssion and Commission in Change Detection-Reference-Cited by-同舟云学术

Assessment of Performance of Tree-Based Algorithms to Reduce Errors of Omisssion and Commission in Change Detection

Published:2023-07-16 Issue: Volume: Page:
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Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Rasmussen Peter¹,Abrahamson Jenna²,Tang Xiaojing³,Smith Owen²,Gray Josh⁴,Woodcock Curtis⁵,Bosch Marc⁶

Affiliation:

1. Accenture Federal Services,Discovery Lab,Arlington,VA,United States

2. North Carolina State University,Center for Geospatial Analytics,Raleigh,United States

3. James Madison University,School of Integrated Sciences,Harrisonburg,United States

4. Forestry and Environmental Resources,Center for Geospatial Analytics,Raleigh,United States

5. Boston University,Department of Earth and Environment,Boston,United States

6. Accenture Federal Services,Arlington,VA,United States

Funder

Office of the Director

Publisher

IEEE

Link

Reference31 articles.

5. Principal Component Analysis;rencher;Methods of Multivariate Analysis Rencher/Methods,0

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