Study on the Multi-parameter Inversion of Reservoir Water Quality Based on GF-1 WFV Image and Neural Network Model
This paper establishes a multi-parameter quantitative inversion model of water qualityin multispectral remote sensing images by domestic GF-1 WFV image and neural network model toachieve high-efficiency, large-scale, continuous-space and multi-parameter change monitoring ofreservoir water quality, e...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Chinês |
| Publicat: |
Editorial Office of Pearl River
2020-01-01
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| Col·lecció: | Renmin Zhujiang |
| Matèries: | |
| Accés en línia: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2020.07.009 |
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