Improving specific class mapping from remotely sensed data by Cost-Sensitive learning

Silva, J., Bacao, F., Dieng, M., Foody, G. M., & Caetano, M. (2017). Improving specific class mapping from remotely sensed data by Cost-Sensitive learning. International Journal Of Remote Sensing, 38(11), 3294-3316. https://doi.org/10.1080/01431161.2017.1292073

Bibliographic Details
Main Author: Silva, Joel (author)
Other Authors: Bacao, Fernando (author), Dieng, Maguette (author), Foody, Giles M. (author), Caetano, Mario (author)
Format: article
Language:eng
Published: 2019
Subjects:
Earth and Planetary Sciences(all)
SDG 15 - Life on Land
Online Access:https://doi.org/10.1080/01431161.2017.1292073
Country:Portugal
Oai:oai:run.unl.pt:10362/82530
Description
Summary:Silva, J., Bacao, F., Dieng, M., Foody, G. M., & Caetano, M. (2017). Improving specific class mapping from remotely sensed data by Cost-Sensitive learning. International Journal Of Remote Sensing, 38(11), 3294-3316. https://doi.org/10.1080/01431161.2017.1292073

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