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Introductory Digital Image Processing: A Remote Sensing Perspective, Third Edition

机译:入门级数字图像处理:遥感观点,第三版

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Introductory Digital Image Processing: A Remote Sensing Perspective (3rd ed.), by John R. Jenson, is a complete and thorough introduction to and reference for remote sensing technologies and digital image processing techniques. The author writes a detailed account of a wide spectrum of remote sensing and digital image processing needs including data collection, processing hardware and software, image quality and statistical evaluation, visualization, principles of electromagnetic radiation, radiometric and geometric correction of remotely sensed data, image enhancement, information extraction, change detection analyses, and accuracy assessments. As stated by the author, "This book was written for physical, natural, and social scientists interested in the quantitative analysis of remotely sensed data to solve real world problems." The reader is expected to have knowledge of college algebra, univariate and multivariate statistics, as well as an introductory understanding of air photo interpretation or remote sensing.First the author introduces remote sensing data collection, including analog image digitization; digital remote sensor; multispectral imaging using discrete detectors, scanning mirrors, and linear arrays; image spectrometry; digital cameras; and satellite systems. Tables summarize a wealth of information including a comprehensive list of satellite data collection systems in use today as well as comparisons of spatial, spectral, and temporal resolution. The author continues with a detailed consideration of hardware and software needs followed by an introduction to statistical methods for evaluating image quality. Additionally, the author takes time to explain the details of electromagnetic radiation principles, which provides the reader with a firm foundation to discuss various image correction/enhancement methods and data extraction techniques. The author leaves nothing out while providing concise and well-illustrated examples of complex topics relating to digital image processing. Statistical equations and electromagnetic principles are presented and explained clearly, making reading through the math understandable and easy to follow, even for those with a basic understanding of such principles. Figures are nicely presented both within the text and in a set of high-quality color plates in the center of the book. The author uses many summary tables to help distill information and relay quick reviews to the reader, making the text a great quick reference while working through a remote sensing application.
机译:John R. Jenson撰写的《数字图像处理入门:遥感观点》(第3版)是对遥感技术和数字图像处理技术的完整而透彻的介绍和参考。作者详细介绍了遥感和数字图像处理的广泛需求,包括数据收集,处理硬件和软件,图像质量和统计评估,可视化,电磁辐射原理,遥感数据的辐射和几何校正,图像增强,信息提取,变更检测分析和准确性评估。正如作者所说,“这本书是为对遥感数据进行定量分析以解决现实世界问题感兴趣的物理,自然和社会科学家编写的。”希望读者具有大学代数,单变量和多元统计知识,以及对空中照片解释或遥感的入门理解。首先,作者介绍了遥感数据收集,包括模拟图像数字化;数字遥感器;使用离散检测器,扫描镜和线性阵列进行多光谱成像;图像光谱法数码相机;和卫星系统。表格总结了丰富的信息,包括当今使用的卫星数据收集系统的完整列表以及空间,频谱和时间分辨率的比较。作者继续详细考虑硬件和软件需求,然后介绍用于评估图像质量的统计方法。此外,作者还花时间解释电磁辐射原理的细节,这为读者提供了讨论各种图像校正/增强方法和数据提取技术的坚实基础。作者不遗余力地提供了与数字图像处理有关的复杂主题的简洁明了的示例。统计方程和电磁原理可以清楚地显示和解释,即使对于那些基本了解数学原理的人也可以理解并易于阅读。在书中和书中央的一组高质量彩板上都很好地显示了数字。作者使用许多汇总表来帮助提取信息并将快速评论传递给读者,从而使文本成为在通过遥感应用程序工作时的快速参考。

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