| 書目名稱 | Hyperspectral Image Analysis |
| 副標(biāo)題 | Advances in Machine |
| 編輯 | Saurabh Prasad,Jocelyn Chanussot |
| 視頻video | http://file.papertrans.cn/431/430688/430688.mp4 |
| 概述 | Provides a comprehensive review of the state of the art in hyperspectral image analysis.Presents perspectives from experts who are pioneers in a broad range of signal processing and machine learning f |
| 叢書名稱 | Advances in Computer Vision and Pattern Recognition |
| 圖書封面 |  |
| 描述 | .This book reviews the state of the art in algorithmic approaches addressing the practical challenges that arise with hyperspectral image analysis tasks, with a focus on emerging trends in machine learning and image processing/understanding. It presents advances in deep learning, multiple instance learning, sparse representation based learning, low-dimensional manifold models,?anomalous?change detection, target recognition, sensor fusion and super-resolution for robust multispectral and hyperspectral image understanding.?It presents research from leading international experts who have made foundational contributions in these areas.?The book covers a diverse array of applications of multispectral/hyperspectral imagery in the context of these algorithms, including remote sensing, face recognition and biomedicine. This book would be particularly beneficial to graduate students and researchers who are taking advanced courses in (or are working in) the areas ofimage analysis, machine learning and remote sensing with multi-channel optical imagery. Researchers and professionals in academia and industry working in areas such as electrical engineering, civil and environmental engineering, g |
| 出版日期 | Book 2020 |
| 關(guān)鍵詞 | Hyperspectral Image Analysis; Manifold Learning; Subspace Learning; Computational Imaging; Target Recogn |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-38617-7 |
| isbn_softcover | 978-3-030-38619-1 |
| isbn_ebook | 978-3-030-38617-7Series ISSN 2191-6586 Series E-ISSN 2191-6594 |
| issn_series | 2191-6586 |
| copyright | Springer Nature Switzerland AG 2020 |
|Archiver|手機版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-14 08:44
發(fā)表于 2025-3-21 16:22:49
