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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume X-5/W2-2025
https://doi.org/10.5194/isprs-annals-X-5-W2-2025-459-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
19 Dec 2025
| 19 Dec 2025
Patch-Based Self-Supervised Learning for Road Damage Classification: A Case Study on the RDD2022 dataset of Indian test site
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The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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