Enhanced image prior for unsupervised remoting sensing super-resolution

被引:0
|
作者
Wang, Jiaming [1 ]
Shao, Zhenfeng [1 ]
Huang, Xiao [2 ]
Lu, Tao [3 ]
Zhang, Ruiqian [4 ]
Ma, Jiayi [5 ]
机构
[1] State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan,430079, China
[2] Department of Geosciences, University of Arkansas, Fayetteville, AR,72701, United States
[3] Hubei Key Laboratory of Intelligent Robot, School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan,430073, China
[4] The School of Remote Sensing and Information Engineering, Wuhan University, Wuhan,430079, China
[5] The Electronic Information School, Wuhan University, Wuhan,430079, China
基金
中国国家自然科学基金;
关键词
Satellite imagery - Image enhancement - Optical resolving power - Textures - Unsupervised learning - Remote sensing;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:400 / 412
相关论文
共 50 条
  • [31] Single Image Super-Resolution Using Sparse Prior
    Bian, Junjie
    Li, Yuelong
    Feng, Jufu
    MIPPR 2011: PATTERN RECOGNITION AND COMPUTER VISION, 2011, 8004
  • [32] A New Deep Generative Network for Unsupervised Remote Sensing Single-Image Super-Resolution
    Mario Haut, Juan
    Fernandez-Beltran, Ruben
    Paoletti, Mercedes E.
    Plaza, Javier
    Plaza, Antonio
    Pla, Filiberto
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 56 (11): : 6792 - 6810
  • [33] Unsupervised Degradation Aware and Representation for Real-World Remote Sensing Image Super-Resolution
    Guo, Wen-Zhong
    Weng, Wu-Ding
    Chen, Guang-Yong
    Su, Jian-Nan
    Gan, Min
    Philip Chen, C. L.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62 : 1 - 1
  • [34] Lightweight image super-resolution with enhanced CNN
    Tian, Chunwei
    Zhuge, Ruibin
    Wu, Zhihao
    Xu, Yong
    Zuo, Wangmeng
    Chen, Chen
    Lin, Chia-Wen
    KNOWLEDGE-BASED SYSTEMS, 2020, 205
  • [35] SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution
    Ahn, Namhyuk
    Yoo, Jaejun
    Sohn, Kyung-Ah
    2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2020), 2020, : 1953 - 1961
  • [36] Robust Unsupervised Super-Resolution of Infant MRI via Dual-Modal Deep Image Prior
    Tsai, Cheng Che
    Chen, Xiaoyang
    Ahmad, Sahar
    Yap, Pew-Thian
    MACHINE LEARNING IN MEDICAL IMAGING, MLMI 2023, PT I, 2024, 14348 : 42 - 51
  • [37] UNSUPERVISED GENERATIVE NETWORK FOR BLIND HYPERSPECTRAL IMAGE SUPER-RESOLUTION
    Liu, Zhe
    Han, Xian-Hua
    Sun, Jiande
    Chen, Yen-Wei
    2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2022, : 2621 - 2625
  • [38] Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolution
    Liu, Jianjun
    Wu, Zebin
    Xiao, Liang
    Wu, Xiao-Jun
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [39] Enhanced Autoencoders With Attention-Embedded Degradation Learning for Unsupervised Hyperspectral Image Super-Resolution
    Gao, Lianru
    Li, Jiaxin
    Zheng, Ke
    Jia, Xiuping
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61
  • [40] Deep Learning for Remote Sensing Image Super-Resolution
    Ul Hoque, Md Reshad
    Burks, Roland, III
    Kwan, Chiman
    Li, Jiang
    2019 IEEE 10TH ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE (UEMCON), 2019, : 286 - 292