Cyclonic wind speed retrieval based on Bayesian regularized neural network using CYGNSS data-Reference-Cited by-同舟云学术

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Cyclonic wind speed retrieval based on Bayesian regularized neural network using CYGNSS data

Published:2021-06-22 Issue:02 Volume:15 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Maheshwari Megha¹,Chakraborty Arun²,Kumar Akhilesh¹,Nirmala Srini¹

Affiliation:

1. Indian Space Research Organization, U R Rao Satellite Centre, Department of Space, Bangalore, Karnat

2. Indian Institute of Technology Kharagpur, Centre for Oceans, Rivers, Atmosphere, and Land Science, K

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on Sea Surface Wind Speed FM Based on CYGNSS and HY-2B Microwave Scatterometer;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Uncertainty assessment and an improved CYGNSS cyclonic wind speed retrieval model for cyclones over North Indian Ocean;Journal of Earth System Science;2023-01-21

3. Application of the neural network on the GNSS-Reflectometry data for the estimation of the significant wave height;2022 URSI Regional Conference on Radio Science (USRI-RCRS);2022-12-01

4. Investigation of the Relationship of CYGNSS Observables with Ocean Wave Parameters;2021 IEEE International India Geoscience and Remote Sensing Symposium (InGARSS);2021-12-06

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