Generating Training Data for Deep Learning-Based Segmentation Algorithms by Projecting Existing Labels onto Additional Aerial Images

Generating Training Data for Deep Learning-Based Segmentation Algorithms by Projecting Existing Labels onto Additional Aerial Images

Highly accurate manually-generated labels in aerial and satellite images are used for the training of deep learning-based segmentation algorithms and should be available in large numbers and cover many different scenarios to increase the accuracy and generalization capability of the underlying model...

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Bibliographic Details
Main Authors: F. Kurz, N. Merkle, C. Henry, R. Bahmanyar, F. Rauch, J. Hellekes, V. Gstaiger, D. Rosenbaum, P. Reinartz
Format: Article
Language:English
Published: Copernicus Publications 2025-05-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-archives.copernicus.org/articles/XLVIII-M-6-2025/189/2025/isprs-archives-XLVIII-M-6-2025-189-2025.pdf
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