A Feedforward Neural Network Approach for the Detection of Optically Thin Cirrus From IASI-NG-Reference-Cited by-同舟云学术

A Feedforward Neural Network Approach for the Detection of Optically Thin Cirrus From IASI-NG

Published:2023 Issue: Volume:61 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Ricciardelli Elisabetta¹^ORCID,Paola Francesco Di¹^ORCID,Cimini Domenico¹^ORCID,Larosa Salvatore¹^ORCID,Mastro Pietro²^ORCID,Masiello Guido³^ORCID,Serio Carmine³^ORCID,Hultberg Tim⁴,August Thomas⁴^ORCID,Romano Filomena¹^ORCID

Affiliation:

1. Institute of Methodologies for Environmental Analysis, Italian National Research Council (CNR), Tito Scalo, Italy

2. Institute for the Electromagnetic Sensing of the Environment, Italian National Research Council (CNR), Naples, Italy

3. School of Engineering, University of Basilicata, Potenza, Italy

4. European Organization for the Exploitation of Meteorological Satellites, Darmstadt, Germany

Funder

EUMETSAT (www.eumetsat.int/combocloud), under the framework of the ComboCloud (Combined MWS and IASI-NG Soundings for Cloud Properties) Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10210600.pdf?arnumber=10210600

Reference54 articles.

1. Cirrus cloud optical and microphysical properties determined from AIRS infrared spectra

2. Remote sensing of cirrus cloud microphysical properties using spectral measurements over the full range of their thermal emission

3. Hyperspectral Infrared Sounder Cloud Detection Using Deep Neural Network Model

4. Multilayered cloud parameters retrievals from combined infrared and microwave satellite observations

5. Two Hidden Layers are Usually Better than One

Cited by 3 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. The Evolution of Meteorological Satellite Cloud-Detection Methodologies for Atmospheric Parameter Retrievals;Remote Sensing;2024-07-14

2. Spectral Reconstruction from Thermal Infrared Multispectral Image Using Convolutional Neural Network and Transformer Joint Network;Remote Sensing;2024-04-05

3. LiDAR Dynamic Target Detection Based on Multidimensional Features;Sensors;2024-02-20