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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume X-4/W8-2025
https://doi.org/10.5194/isprs-annals-X-4-W8-2025-205-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
29 May 2026
| 29 May 2026
Evaluation of U-Net Variants and Traditional Machine Learning Methods for Land Cover Classification Using High-Resolution Satellite Imagery
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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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