Landsat 8 Remote Sensing Image Based on Deep Residual Fully Convolutional Network

Jiaqiang Zhang; Xiaoyan Li; Liyuan Li; Pengcheng Sun; Xiaofeng Su; Tingliang Hu; Fansheng Chen

doi:10.3788/LOP57.102801

Laser & Optoelectronics Progress, Volume. 57, Issue 10, 102801(2020)

Landsat 8 Remote Sensing Image Based on Deep Residual Fully Convolutional Network

Jiaqiang Zhang^1,2,3, Xiaoyan Li^1,2,3, Liyuan Li^1,2,3, Pengcheng Sun^2,4, Xiaofeng Su^1,2、*, Tingliang Hu^1,2, and Fansheng Chen^1,2

Author Affiliations

¹Key Laboratory of Intelligent Infrared Perception, Chinese Academy of Sciences, Shanghai 200083, China

²Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China

³University of Chinese Academy of Sciences, Beijing 100049, China

⁴Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute of Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China

show less

Abstract Get PDF(in Chinese)

Cited By

Article index updated: Sep. 8, 2025

The article is cited by 5 article(s) CLP online library. (Some content might be in Chinese.)

Tools

Get Citation

Copy Citation Text

Jiaqiang Zhang, Xiaoyan Li, Liyuan Li, Pengcheng Sun, Xiaofeng Su, Tingliang Hu, Fansheng Chen. Landsat 8 Remote Sensing Image Based on Deep Residual Fully Convolutional Network[J]. Laser & Optoelectronics Progress, 2020, 57(10): 102801

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Remote Sensing and Sensors

Received: Feb. 17, 2020

Accepted: Feb. 25, 2020

Published Online: May. 8, 2020

The Author Email: Xiaofeng Su (fishsu@mail.sitp.ac.cn)

DOI:10.3788/LOP57.102801

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology