Suggestive Data Annotation for CNN-Based Building Footprint Mapping Based on Deep Active Learning and Landscape Metrics
Convolutional neural network (CNN)-based very high-resolution (VHR) image segmentation has become a common way of extracting building footprints. Despite publicly available building datasets and pre-trained CNN models, it is still necessary to prepare sufficient labeled image tiles to train CNN mode...
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| פורמט: | Article |
| שפה: | English |
| יצא לאור: |
MDPI AG
2022-06-01
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| סדרה: | Remote Sensing |
| נושאים: | |
| גישה מקוונת: | https://www.mdpi.com/2072-4292/14/13/3147 |