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SBHSR：基于辅助波段盲降级与融合的高光谱图像单波段超分辨率方法

IF 3.3 4区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Geocarto International Pub Date : 2024-01-23 DOI:10.1080/10106049.2023.2294901
Lijing Bu, Xi Xiao, Zhengpeng Zhang, Deng Mingjun
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引用次数: 0

摘要

尽管自然图像超分辨率（SR）方法已取得巨大成功，但具有丰富光谱特征的高光谱图像（HSI）超分辨率方法仍是一项极具挑战性的任务。
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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SBHSR: single-band super-resolution method for hyperspectral images based on blind degradation and fusion of auxiliary band
Despite natural image super-resolution (SR) methods have achieved great success, super-resolution methods for hyperspectral image (HSI) with rich spectral features are still a very challenging task...
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来源期刊
Geocarto International
Geocarto International ENVIRONMENTAL SCIENCES-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
6.30
自引率
13.20%
发文量
407
审稿时长
>12 weeks
期刊介绍： Geocarto International is a professional academic journal serving the world-wide scientific and user community in the fields of remote sensing, GIS, geoscience and environmental sciences. The journal is designed: to promote multidisciplinary research in and application of remote sensing and GIS in geosciences and environmental sciences; to enhance international exchange of information on new developments and applications in the field of remote sensing and GIS and related disciplines; to foster interest in and understanding of science and applications on remote sensing and GIS technologies; and to encourage the publication of timely papers and research results on remote sensing and GIS applications in geosciences and environmental sciences from the world-wide science community. The journal welcomes contributions on the following: precise, illustrated papers on new developments, technologies and applications of remote sensing; research results in remote sensing, GISciences and related disciplines; Reports on new and innovative applications and projects in these areas; and assessment and evaluation of new remote sensing and GIS equipment, software and hardware.
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