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- W2912365261 abstract "In the last few years, deep learning (DL) has been successfully and massively employed in computer vision for discriminative tasks, such as image classification or object detection. This kind of problems are core to many remote sensing (RS) applications as well, though with domain-specific peculiarities. Therefore, there is a growing interest on the use of DL methods for RS tasks. Here, we consider the forest/non-forest classification problem with TanDEM-X data, and test two state-of-the-art DL models, suitably adapting them to the specific task. Our experiments confirm the great potential of DL methods for RS applications." @default.
- W2912365261 created "2019-02-21" @default.
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- W2912365261 date "2019-02-01" @default.
- W2912365261 modified "2023-10-18" @default.
- W2912365261 title "Deep Learning Solutions for TanDEM-X-based Forest Classification" @default.
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- W2912365261 hasPublicationYear "2019" @default.
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