改进的高光谱图像交互式颜色可视化方法

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Haijun Yu, Shengyang Li
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引用次数: 0

摘要

高光谱图像由于能够保持被成像物体的细微光谱差异而日益受到重视。由于hsi的高维特征,设计用于分析hsi的方法和工具带来了一系列独特的挑战。本文提出了一种改进的彩色可视化方法,以实现遥感领域用户与hsi之间的通信。该方法在实时交互控制和颜色可视化下,可以帮助用户直观地获取隐藏在原始hsi中的丰富信息。采用基于波段选择的降维方法,将高维hsi图像降维为低维图像。通过下拉框,用户可以自由指定参与输出图像RGB通道组合的图像。然后,用户可以基于同心圆交互式地独立设置界面内每个图像的融合系数。同时,输出的图像会被实时计算和可视化,它所反映的信息也会有所不同。在这种方法中,通道组合和融合系数设置是两个独立的过程,用户可以根据自己的需求更灵活地进行交互。此外,该方法也适用于其他类型的多层数据的交互式可视化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved interactive color visualization approach for hyperspectral images
Hyperspectral images (HSIs) have become increasingly prominent as they can maintain the subtle spectral differences of the imaged objects. Designing approaches and tools for analyzing HSIs presents a unique set of challenges due to their high-dimensional characteristics. An improved color visualization approach is proposed in this article to achieve communication between users and HSIs in the field of remote sensing. Under the real-time interactive control and color visualization, this approach can help users intuitively obtain the rich information hidden in original HSIs. Using the dimensionality reduction (DR) method based on band selection, high-dimensional HSIs are reduced to low-dimensional images. Through drop-down boxes, users can freely specify images that participate in the combination of RGB channels of the output image. Users can then interactively and independently set the fusion coefficient of each image within an interface based on concentric circles. At the same time, the output image will be calculated and visualized in real time, and the information it reflects will also be different. In this approach, channel combination and fusion coefficient setting are two independent processes, which allows users to interact more flexibly according to their needs. Furthermore, this approach is also applicable for interactive visualization of other types of multi-layer data.
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来源期刊
Information Visualization
Information Visualization COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.40
自引率
0.00%
发文量
16
审稿时长
>12 weeks
期刊介绍: Information Visualization is essential reading for researchers and practitioners of information visualization and is of interest to computer scientists and data analysts working on related specialisms. This journal is an international, peer-reviewed journal publishing articles on fundamental research and applications of information visualization. The journal acts as a dedicated forum for the theories, methodologies, techniques and evaluations of information visualization and its applications. The journal is a core vehicle for developing a generic research agenda for the field by identifying and developing the unique and significant aspects of information visualization. Emphasis is placed on interdisciplinary material and on the close connection between theory and practice. This journal is a member of the Committee on Publication Ethics (COPE).
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