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Distributed Compressed Hyperspectral Sensing Imaging Based on Spectral Unmixing
The huge volume of hyperspectral imagery demands enormous computational resources, storage memory, and bandwidth between the sensor and the ground stations. Compressed sensing theory has great potential to reduce the enormous cost of hyperspectral imagery by only collecting a few compressed measurem...
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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7219065/ https://ncbi.nlm.nih.gov/pubmed/32316540 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20082305 |
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