| 书目名称 | Hyperspectral Image Processing | | 编辑 | Liguo Wang,Chunhui Zhao | | 视频video | | | 概述 | Systematically provides a complete framework of the novel processing techniques of hyperspectral imaging.Introduces from the basic theory to the state of the art techniques and their applications to m | | 图书封面 |  | | 描述 | .Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource.. | | 出版日期 | Book 2016 | | 关键词 | Anomaly Detection; Endmember Extraction; Hyperspectral Imaging (HSI); Image Processing; Remote Sensing; S | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-662-47456-3 | | isbn_softcover | 978-3-662-51614-0 | | isbn_ebook | 978-3-662-47456-3 | | copyright | National Defense Industry Press, Beijing and Springer-Verlag Berlin Heidelberg 2016 |
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发表于 2025-3-21 19:22:16
