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Identifying distinct plastics in hyperspectral experimental lab-, aircraft-, and satellite data using machine/deep learning methods trained with synthetically mixed spectral data
Research article (Remote Sensing of Environment, 2022) · cited 39× · AI/ML
Identifying distinct plastics in hyperspectral experimental lab-, aircraft-, and satellite data using machine/deep learning methods trained with synthetically mixed spectral data
Summary
Identifying distinct plastics in hyperspectral experimental lab-, aircraft-, and satellite data using machine/deep learning methods trained with synthetically mixed spectral data is a scholarly article[1].
Key Facts
Identifying distinct plastics in hyperspectral experimental lab-, aircraft-, and satellite data using machine/deep learning methods trained with synthetically mixed spectral data's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Identifying distinct plastics in hyperspectral experimental lab-, aircraft-, and satellite data using machine/deep learning methods trained with synthetically mixed spectral data. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-distinct-plastics-in-hyperspectral-experimental-lab-aircraft-and-satellite-data-using-machine-deep-learning-
MLA“Identifying distinct plastics in hyperspectral experimental lab-, aircraft-, and satellite data using machine/deep learning methods trained with synthetically mixed spectral data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-distinct-plastics-in-hyperspectral-experimental-lab-aircraft-and-satellite-data-using-machine-deep-learning-.
BibTeX@misc{4ortxyz_identifying-distinct-plastics-in-hyperspectral-experimental-lab-aircraft-and-satellite-data-using-machine-deep-learning-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying distinct plastics in hyperspectral experimental lab-, aircraft-, and satellite data using machine/deep learning methods trained with synthetically mixed spectral data}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-distinct-plastics-in-hyperspectral-experimental-lab-aircraft-and-satellite-data-using-machine-deep-learning-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identifying distinct plastics in hyperspectral experimental lab-, aircraft-, and satellite data using machine/deep learning methods trained with synthetically mixed spectral data — https://4ort.xyz/entity/identifying-distinct-plastics-in-hyperspectral-experimental-lab-aircraft-and-satellite-data-using-machine-deep-learning- (retrieved 2026-05-24)
