An improved deep learning network for AOD retrieving from remote sensing imagery focusing on sub-pixel cloud-Reference-Cited by-同舟云学术

An improved deep learning network for AOD retrieving from remote sensing imagery focusing on sub-pixel cloud

Published:2023-10-14 Issue:1 Volume:60 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Cai He¹^ORCID,Zhong Bo²^ORCID,Liu Huilin¹,Du Bailin²,Liu Qinhuo²,Wu Shanlong²,Li Li²,Yang Aixia²,Wu Junjun²,Gu Xingfa²,Jiang Jinxiong³

Affiliation:

1. School of Computer Science and Engineering, Northeastern University, Shenyang, China

2. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Aerospace Information Research Institute, Chinese Academy of Sciences and Beijing Normal University, Beijing, China

3. Space Star Technology Co. Ltd, Beijing, China

Funder

National Key Research and Development Program of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2262836

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3. An analytical four-component directional brightness temperature model for crop and forest canopies

4. A TIR forest reflectance and transmittance (FRT) model for directional temperatures with structural and thermal stratification

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