| Autor: |
Miguel Pato, Peter Reinartz, Pablo d'Angelo, Nina Merkle, Jiaojiao Tian, Reza Bahmanyar, Ksenia Bittner, Maximilian Langheinrich, Kevin Alonso, Corentin Henry, Guichen Zhang, Xiangtian Yuan, Stefan Auer, Daniele Cerra |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
IGARSS |
| Popis: |
This paper describes the contribution of the DLR team ranking 2nd in Track 2 of the 2020 IEEE GRSS Data Fusion Contest. The semantic classification of multimodal earth observation data proposed is based on the refinement of low resolution MODIS labels, using as auxiliary training data higher resolution labels available for a validation data set. The classification is initialized with a handcrafted decision tree integrating output from a random forest classifier, and subsequently boosted by detectors for specific classes. The results of the team ranking 3rd in Track 1 of the same contest are reported in a companion paper. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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