Comparing CNNs and Random Forests for Landsat Image Segmentation Trained on a Large Proxy Land Cover Dataset

Research article (Remote Sensing, 2022) · cited 59× · AI/ML
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Comparing CNNs and Random Forests for Landsat Image Segmentation Trained on a Large Proxy Land Cover Dataset

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Comparing CNNs and Random Forests for Landsat Image Segmentation Trained on a Large Proxy Land Cover Dataset is a scholarly article[1].

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  • Comparing CNNs and Random Forests for Landsat Image Segmentation Trained on a Large Proxy Land Cover Dataset's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Comparing CNNs and Random Forests for Landsat Image Segmentation Trained on a Large Proxy Land Cover Dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparing-cnns-and-random-forests-for-landsat-image-segmentation-trained-on-a-large-proxy-land-cover-dataset
MLA “Comparing CNNs and Random Forests for Landsat Image Segmentation Trained on a Large Proxy Land Cover Dataset.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparing-cnns-and-random-forests-for-landsat-image-segmentation-trained-on-a-large-proxy-land-cover-dataset.
BibTeX @misc{4ortxyz_comparing-cnns-and-random-forests-for-landsat-image-segmentation-trained-on-a-large-proxy-land-cover-dataset_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparing CNNs and Random Forests for Landsat Image Segmentation Trained on a Large Proxy Land Cover Dataset}}, year = {2026}, url = {https://4ort.xyz/entity/comparing-cnns-and-random-forests-for-landsat-image-segmentation-trained-on-a-large-proxy-land-cover-dataset}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparing CNNs and Random Forests for Landsat Image Segmentation Trained on a Large Proxy Land Cover Dataset — https://4ort.xyz/entity/comparing-cnns-and-random-forests-for-landsat-image-segmentation-trained-on-a-large-proxy-land-cover-dataset (retrieved 2026-05-24)

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