Bottleneck Channels Algorithm for Satellite Data Dimension Reduction: A Case Study for IASI
Author:
Funder
CNES
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/8472225/08360516.pdf?arnumber=8360516
Cited by 8 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. Towards a new generation of artificial‐intelligence‐based infrared atmospheric sounding interferometer retrievals of surface temperature: Part II – Assessment;Quarterly Journal of the Royal Meteorological Society;2023-05-03
2. Towards a new generation of artificial‐intelligence‐based infrared atmospheric sounding interferometer retrievals of surface temperature: Part I – Methodology;Quarterly Journal of the Royal Meteorological Society;2023-04
3. Time evolution of temperature profiles retrieved from 13 years of infrared atmospheric sounding interferometer (IASI) data using an artificial neural network;Atmospheric Measurement Techniques;2022-03-24
4. Convolutional neural networks for satellite remote sensing at coarse resolution. Application for the SST retrieval using IASI;Remote Sensing of Environment;2021-09
5. Bibliography;Deep Learning for the Earth Sciences;2021-08-20
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