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Assessing the effects of convolutional neural network architectural factors on model performance for remote sensing image classification: An in-depth investigation
Research article (International Journal of Applied Earth Observation and Geoinformation, 2022) · cited 42× · AI/ML
Assessing the effects of convolutional neural network architectural factors on model performance for remote sensing image classification: An in-depth investigation
Summary
Assessing the effects of convolutional neural network architectural factors on model performance for remote sensing image classification: An in-depth investigation is a scholarly article[1].
Key Facts
Assessing the effects of convolutional neural network architectural factors on model performance for remote sensing image classification: An in-depth investigation's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Assessing the effects of convolutional neural network architectural factors on model performance for remote sensing image classification: An in-depth investigation. Retrieved May 24, 2026, from https://4ort.xyz/entity/assessing-the-effects-of-convolutional-neural-network-architectural-factors-on-model-performance-for-remote-sensing-imag
MLA“Assessing the effects of convolutional neural network architectural factors on model performance for remote sensing image classification: An in-depth investigation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/assessing-the-effects-of-convolutional-neural-network-architectural-factors-on-model-performance-for-remote-sensing-imag.
BibTeX@misc{4ortxyz_assessing-the-effects-of-convolutional-neural-network-architectural-factors-on-model-performance-for-remote-sensing-imag_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Assessing the effects of convolutional neural network architectural factors on model performance for remote sensing image classification: An in-depth investigation}}, year = {2026}, url = {https://4ort.xyz/entity/assessing-the-effects-of-convolutional-neural-network-architectural-factors-on-model-performance-for-remote-sensing-imag}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Assessing the effects of convolutional neural network architectural factors on model performance for remote sensing image classification: An in-depth investigation — https://4ort.xyz/entity/assessing-the-effects-of-convolutional-neural-network-architectural-factors-on-model-performance-for-remote-sensing-imag (retrieved 2026-05-24)
