中国地质大学主页平台管理系统 WXF--英文主页-- Ruyi Feng, Zhongyu Guo and Xiaofeng Wang*, A Recurrent Feedback Hyperspectral Image Super-Resolution Reconstruction Method by Using of Self-Attention-Based Pixel Awareness, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 18502-18516, 2024.

汪校锋

Date of Birth:1977-11-01

Date of Employment:2005-07-01

School/Department:应用系

Education Level:Doctoral Degree in Education

Gender:Male

Degree:Doctoral Degree in Science

Status:在岗

Discipline:Spatial information and digital technology

Paper Publications

Ruyi Feng, Zhongyu Guo and Xiaofeng Wang*, A Recurrent Feedback Hyperspectral Image Super-Resolution Reconstruction Method by Using of Self-Attention-Based Pixel Awareness, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 18502-18516, 2024.

Release time:2024-10-28 Hits:

Affiliation of Author(s):计算机学院

Place of Publication:USA

Key Words:Feedback embedding, hyperspectral image (HSI), pixel awareness, recurrent network, super-resolution

Abstract:Hyperspectral images (HSIs) contain abundant spectral information, while the spatial resolution is usually limited. To obtain high-spatial-resolution HSIs, various HSI super-resolution (SR) methods are proposed. Currently, deep-learning-based SR reconstruction methods are studied in depth, which take different measures to make full use of the spatial and spectral information of HSIs, and optimize the network with lots of trainings. Although they have achieved satisfying spatial resolution, the spectral consistency before and after reconstruction is difficult to guarantee. In this article, we

Co-author:Ruyi Feng, Zhongyu Guo and Xiaofeng Wang*

Indexed by:Journal paper

Correspondence Author:Xiaofeng Wang

Discipline:Engineering

First-Level Discipline:Computer

Document Type:J

Translation or Not:no

Included Journals:EI

Pre One:Xiaofeng Wang, Zhongyu Guo and Ruyi Feng. A CNN- and Transformer-Based Dual-Branch Network for Change Detection with Cross-Layer Feature Fusion and Edge Constraints. Remote Sensing, 16, 2573, 2024.

Next One:Qin Xuewen, Feng Bangguo, Zhang Yun, Wang Xiaofeng. Rock-Soil Geochemical Background Characteristics and Prospecting Significance of Duancun Area in Western Henan Provence. Xinjiang Geology(in Chinese), 41(1): 46-50, 2023.

Profile

Xiaofeng Wang, male, studied and worked at China University of Geosciences (Wuhan). He obtained a PhD in Structural Geology in 2015 respectively. From 2015 to 2017, he was a visiting scholar at the University of Windsor in Canada. After graduating in 2005, he remained at the university to engage in geological surveys and scientific research management. During his work, he undertook or participated in 20 research projects and published more than 15 academic papers. His fields of interests are deep learning for remote sensing, semi-automated lineament detection and geoscience information engineering.