Effective Predictions of Snow Scattering Characteristics Using Neural Networks and The Quasi-Crystalline Approximation-Reference-Cited by-同舟云学术

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Effective Predictions of Snow Scattering Characteristics Using Neural Networks and The Quasi-Crystalline Approximation

Published:2022-07-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)
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Author:

Lv Xin¹,Tan Shurun¹,Luo Chunzeng¹

Affiliation:

1. Zhejiang University/University of Illinois at Urbana-Champaign Institute

Funder

Zhejiang University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9886005/9885799/09886841.pdf?arnumber=9886841

Reference4 articles.

1. Multiple scattering of waves by dense random distributions of sticky particles for applications in microwave scattering by terrestrial snow

2. Electromagnetic Scattering by Bicontinuous Random Microstructures With Discrete Permittivities

3. Application and Comparison of BP Neural Network Algorithm in MATLAB

4. Modeling Active Microwave Remote Sensing of Snow Using Dense Media Radiative Transfer (DMRT) Theory With Multiple-Scattering Effects

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