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

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 10 >Page 102801 > Article

Laser & Optoelectronics Progress
Vol. 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

DOI: 10.3788/LOP57.102801 Cite this Article Set citation alerts

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 Copy Citation Text

show less

Cited By

Article index updated: May. 19, 2024

Citation counts are provided from Researching.

The article is cited by 5 article(s) from Researching.