基于退化机制的无监督遥感图像超分辨率方法"[《图像与视觉计算》，第 148 卷 (2024)，105108] 更正

IF 4.2 3区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Image and Vision Computing Pub Date : 2024-11-01 DOI:10.1016/j.imavis.2024.105275

Zhikang Zhao , Yongcheng Wang , Ning Zhang , Yuxi Zhang , Zheng Li , Chi Chen

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Corrigendum to “A method of degradation mechanism-based unsupervised remote sensing image super-resolution” [Image and Vision Computing, Vol 148 (2024), 105108]

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来源期刊

Image and Vision Computing 工程技术-工程：电子与电气

CiteScore

8.50

自引率

8.50%

发文量

143

审稿时长

7.8 months

期刊介绍： Image and Vision Computing has as a primary aim the provision of an effective medium of interchange for the results of high quality theoretical and applied research fundamental to all aspects of image interpretation and computer vision. The journal publishes work that proposes new image interpretation and computer vision methodology or addresses the application of such methods to real world scenes. It seeks to strengthen a deeper understanding in the discipline by encouraging the quantitative comparison and performance evaluation of the proposed methodology. The coverage includes: image interpretation, scene modelling, object recognition and tracking, shape analysis, monitoring and surveillance, active vision and robotic systems, SLAM, biologically-inspired computer vision, motion analysis, stereo vision, document image understanding, character and handwritten text recognition, face and gesture recognition, biometrics, vision-based human-computer interaction, human activity and behavior understanding, data fusion from multiple sensor inputs, image databases.