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Ensemble Learning Approaches Based on Covariance Pooling of CNN Features for High Resolution Remote Sensing Scene Classification
Research article (Remote Sensing, 2020) · cited 23× · AI/ML
Ensemble Learning Approaches Based on Covariance Pooling of CNN Features for High Resolution Remote Sensing Scene Classification
Summary
Ensemble Learning Approaches Based on Covariance Pooling of CNN Features for High Resolution Remote Sensing Scene Classification is a scholarly article[1].
Key Facts
Ensemble Learning Approaches Based on Covariance Pooling of CNN Features for High Resolution Remote Sensing Scene Classification's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Ensemble Learning Approaches Based on Covariance Pooling of CNN Features for High Resolution Remote Sensing Scene Classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/ensemble-learning-approaches-based-on-covariance-pooling-of-cnn-features-for-high-resolution-remote-sensing-scene-classi
MLA“Ensemble Learning Approaches Based on Covariance Pooling of CNN Features for High Resolution Remote Sensing Scene Classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ensemble-learning-approaches-based-on-covariance-pooling-of-cnn-features-for-high-resolution-remote-sensing-scene-classi.
BibTeX@misc{4ortxyz_ensemble-learning-approaches-based-on-covariance-pooling-of-cnn-features-for-high-resolution-remote-sensing-scene-classi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Ensemble Learning Approaches Based on Covariance Pooling of CNN Features for High Resolution Remote Sensing Scene Classification}}, year = {2026}, url = {https://4ort.xyz/entity/ensemble-learning-approaches-based-on-covariance-pooling-of-cnn-features-for-high-resolution-remote-sensing-scene-classi}, note = {Accessed: 2026-05-24}}
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