Fusing Sentinel-2 and Landsat-8 Surface Reflectance Data via Pixel-Wise Local Normalization-Reference-Cited by-同舟云学术

Fusing Sentinel-2 and Landsat-8 Surface Reflectance Data via Pixel-Wise Local Normalization

Published:2022 Issue: Volume:15 Page:7359-7374
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Li Yunfei¹^ORCID,Shi Qian¹,He Lin²^ORCID,Cai Runlin¹^ORCID,Meng Liangli¹,Li Jun³^ORCID,Plaza Antonio⁴^ORCID

Affiliation:

1. Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China

2. School of Automation Science and Engineering, South China University of Technology, Guangzhou, China

3. School of Computer Science, China University of Geosciences, Wuhan, China

4. Hyperspectral Computing Laboratory Department of Technology of Computers and Communications, Escuela Politécnica, University of Extremadura, Cáceres, Spain

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Guangzhou Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9656571/09864237.pdf?arnumber=9864237

Reference61 articles.

1. More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification

2. Graph Convolutional Networks for Hyperspectral Image Classification

3. SAR image change detection based on deep denoising and CNN

4. Super-Resolution for Remote Sensing Images via Local–Global Combined Network

5. Remote Sensing Single-Image Superresolution Based on a Deep Compendium Model

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