Comparison of an Optimised Multiresolution Segmentation Approach with Deep Neural Networks for Delineating Agricultural Fields from Sentinel-2 Images

Research article (PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science, 2023) · cited 21× · AI/ML
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Comparison of an Optimised Multiresolution Segmentation Approach with Deep Neural Networks for Delineating Agricultural Fields from Sentinel-2 Images

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Comparison of an Optimised Multiresolution Segmentation Approach with Deep Neural Networks for Delineating Agricultural Fields from Sentinel-2 Images is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparison of an Optimised Multiresolution Segmentation Approach with Deep Neural Networks for Delineating Agricultural Fields from Sentinel-2 Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-of-an-optimised-multiresolution-segmentation-approach-with-deep-neural-networks-for-delineating-agricultural-
MLA “Comparison of an Optimised Multiresolution Segmentation Approach with Deep Neural Networks for Delineating Agricultural Fields from Sentinel-2 Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparison-of-an-optimised-multiresolution-segmentation-approach-with-deep-neural-networks-for-delineating-agricultural-.
BibTeX @misc{4ortxyz_comparison-of-an-optimised-multiresolution-segmentation-approach-with-deep-neural-networks-for-delineating-agricultural-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparison of an Optimised Multiresolution Segmentation Approach with Deep Neural Networks for Delineating Agricultural Fields from Sentinel-2 Images}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-of-an-optimised-multiresolution-segmentation-approach-with-deep-neural-networks-for-delineating-agricultural-}, note = {Accessed: 2026-05-24}}
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