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...
Saved in:
| Main Authors: | ZHENG Yanhui, ZHANG Yuanbo, HE Yanhu |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Pearl River
2020-01-01
|
| Series: | Renmin Zhujiang |
| Subjects: | |
| Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2020.07.009 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Estimating Chlorophyll-a Concentrations in Optically Shallow Waters Using Gaofen-1 Wide-Field-of-View (GF-1 WFV) Datasets from Lake Taihu, China
by: Fuli Yan, et al.
Published: (2025-04-01) -
UPE-Net: A Spatial Information Enhanced Network for Ulva Prolifera Extraction From GF-1 WFV Images
by: Hui Sheng, et al.
Published: (2025-01-01) -
Perspective of Chinese GF-1 high-resolution satellite data in agricultural remote sensing monitoring
by: Qing-bo ZHOU, et al.
Published: (2017-02-01) -
A Refined Terrace Extraction Method Based on a Local Optimization Model Using GF-2 Images
by: Guobin Kan, et al.
Published: (2024-12-01) -
Optimizing KNN and multi-features extracted from GF-1 and GF-3 for forest above-ground biomass (AGB) estimation
by: Wangfei Zhang, et al.
Published: (2025-08-01)