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PlanetScope Radiometric Normalization and Sentinel-2 Super-Resolution (2.5 m): A Straightforward Spectral-Spatial Fusion of Multi-Satellite Multi-Sensor Images Using Residual Convolutional Neural Networks
Research article (Remote Sensing, 2020) · cited 63× · AI/ML
PlanetScope Radiometric Normalization and Sentinel-2 Super-Resolution (2.5 m): A Straightforward Spectral-Spatial Fusion of Multi-Satellite Multi-Sensor Images Using Residual Convolutional Neural Networks
Summary
PlanetScope Radiometric Normalization and Sentinel-2 Super-Resolution (2.5 m): A Straightforward Spectral-Spatial Fusion of Multi-Satellite Multi-Sensor Images Using Residual Convolutional Neural Networks is a scholarly article[1].
Key Facts
PlanetScope Radiometric Normalization and Sentinel-2 Super-Resolution (2.5 m): A Straightforward Spectral-Spatial Fusion of Multi-Satellite Multi-Sensor Images Using Residual Convolutional Neural Networks's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). PlanetScope Radiometric Normalization and Sentinel-2 Super-Resolution (2.5 m): A Straightforward Spectral-Spatial Fusion of Multi-Satellite Multi-Sensor Images Using Residual Convolutional Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/planetscope-radiometric-normalization-and-sentinel-2-super-resolution-2-5-m-a-straightforward-spectral-spatial-fusion-of
MLA“PlanetScope Radiometric Normalization and Sentinel-2 Super-Resolution (2.5 m): A Straightforward Spectral-Spatial Fusion of Multi-Satellite Multi-Sensor Images Using Residual Convolutional Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/planetscope-radiometric-normalization-and-sentinel-2-super-resolution-2-5-m-a-straightforward-spectral-spatial-fusion-of.
BibTeX@misc{4ortxyz_planetscope-radiometric-normalization-and-sentinel-2-super-resolution-2-5-m-a-straightforward-spectral-spatial-fusion-of_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PlanetScope Radiometric Normalization and Sentinel-2 Super-Resolution (2.5 m): A Straightforward Spectral-Spatial Fusion of Multi-Satellite Multi-Sensor Images Using Residual Convolutional Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/planetscope-radiometric-normalization-and-sentinel-2-super-resolution-2-5-m-a-straightforward-spectral-spatial-fusion-of}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PlanetScope Radiometric Normalization and Sentinel-2 Super-Resolution (2.5 m): A Straightforward Spectral-Spatial Fusion of Multi-Satellite Multi-Sensor Images Using Residual Convolutional Neural Networks — https://4ort.xyz/entity/planetscope-radiometric-normalization-and-sentinel-2-super-resolution-2-5-m-a-straightforward-spectral-spatial-fusion-of (retrieved 2026-05-24)
