DEEP LEARNING BASED BUILDING FOOTPRINT EXTRACTION FROM VERY HIGH RESOLUTION TRUE ORTHOPHOTOS AND NDSM
A challenging aspect of developing deep learning-based models for extracting building footprints from very high resolution (< 0.1 m) aerial imagery is the amount of details contained within the images. The use of convolutional neural networks (CNNs) to tackle semantic im...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2022-05-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2022/211/2022/isprs-annals-V-2-2022-211-2022.pdf |