A Nonlinear Radiometric Normalization Model for Satellite Imgaes Time Series Based on Artificial Neural Networks and Greedy Algroithm
Abstract
:1. Introduction
2. Description of Methodology
3. Materials
3.1. Study Area and Satellite Data
3.2. The Preparation of PIFs
4. Results
4.1. Experimental Results
4.2. Comparison with Other Methods
4.3. Application of NMAG to Vegetation Index
5. Discussion
6. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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2017-10-23 | 2017-11-08 | 2017-11-24 | 2017-12-10 | 2017-12-26 | mean_pccs | |
2017-10-23 | 1.00 | 0.89 | 0.83 | 0.79 | 0.71 | 0.84 |
2017-11-08 | 0.89 | 1.00 | 0.91 | 0.88 | 0.81 | 0.90 |
2017-11-24 | 0.83 | 0.91 | 1.00 | 0.92 | 0.85 | 0.90 |
2017-12-10 | 0.79 | 0.88 | 0.92 | 1.00 | 0.89 | 0.90 |
2017-12-26 | 0.71 | 0.81 | 0.85 | 0.89 | 1.00 | 0.85 |
mean_pccs | 0.84 | 0.90 | 0.90 | 0.90 | 0.85 | 0.88 |
2017-10-23 | 2017-11-08 | 2017-11-24 | 2017-12-10 | 2017-12-26 | mean_pccs | |
2018-09-24 | 0.71 | 0.62 | 0.69 | 0.63 | 0.60 | 0.65 |
2018-10-10 | 0.73 | 0.66 | 0.75 | 0.68 | 0.65 | 0.69 |
2018-10-26 | 0.72 | 0.64 | 0.74 | 0.69 | 0.65 | 0.69 |
2018-12-13 | 0.70 | 0.65 | 0.73 | 0.70 | 0.65 | 0.69 |
2018-12-29 | 0.67 | 0.61 | 0.69 | 0.68 | 0.64 | 0.66 |
mean_pccs | 0.70 | 0.64 | 0.72 | 0.68 | 0.64 | 0.67 |
Method | CM1 | CM2 | NMAG |
---|---|---|---|
641.39 | 543.47 | 497.22 |
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Yin, Z.; Zou, L.; Sun, J.; Zhang, H.; Zhang, W.; Shen, X. A Nonlinear Radiometric Normalization Model for Satellite Imgaes Time Series Based on Artificial Neural Networks and Greedy Algroithm. Remote Sens. 2021, 13, 933. https://doi.org/10.3390/rs13050933
Yin Z, Zou L, Sun J, Zhang H, Zhang W, Shen X. A Nonlinear Radiometric Normalization Model for Satellite Imgaes Time Series Based on Artificial Neural Networks and Greedy Algroithm. Remote Sensing. 2021; 13(5):933. https://doi.org/10.3390/rs13050933
Chicago/Turabian StyleYin, Zhaohui, Lejun Zou, Jiayu Sun, Haoran Zhang, Wenyi Zhang, and Xiaohua Shen. 2021. "A Nonlinear Radiometric Normalization Model for Satellite Imgaes Time Series Based on Artificial Neural Networks and Greedy Algroithm" Remote Sensing 13, no. 5: 933. https://doi.org/10.3390/rs13050933