A Restoration Scheme for Spatial and Spectral Resolution of the Panchromatic Image Using the Convolutional Neural Network

Author:

Jin Xin1ORCID,Liu Ling1ORCID,Ren Xiaoxuan1ORCID,Jiang Qian1ORCID,Lee Shin-Jye2ORCID,Zhang Jun3ORCID,Yao Shaowen1ORCID

Affiliation:

1. Engineering Research Center of Cyberspace, Yunnan University, Kunming, China

2. Institute of Management of Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

3. China Mobile Communications Group, Yunnan Company Ltd., Kunming, China

Funder

National Natural Science Foundation of China

Basic Research Project of Yunnan Province

Major Scientific and Technological Project of Yunnan Province

Yunnan Province Expert Workstations

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference46 articles.

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2. Refined UNet v3: Efficient end-to-end patch-wise network for cloud and shadow segmentation with multi-channel spectral features;Jiao,2021

3. Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks;Sharma,2018

4. Forest fire fuel through the lens of remote sensing: Review of approaches, challenges and future directions in the remote sensing of biotic determinants of fire behaviour;Gale,2021

5. Deep Neural Network-Based Heterogeneous Domain Adaptation Using Ensemble Decision Making in Land Cover Classification

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