| 書目名稱 | Roadside Video Data Analysis |
| 副標題 | Deep Learning |
| 編輯 | Brijesh Verma,Ligang Zhang,David Stockwell |
| 視頻video | http://file.papertrans.cn/831/830946/830946.mp4 |
| 概述 | Highlights deep learning, to better understand roadside video data segmentation.Provides learning techniques based on concepts for roadside video data processing.Discusses fire risk assessment based o |
| 叢書名稱 | Studies in Computational Intelligence |
| 圖書封面 |  |
| 描述 | This book highlights the methods and applications for roadside video data analysis, with a particular focus on the use of deep learning to solve roadside video data segmentation and classification problems. It describes system architectures and methodologies that are specifically built upon learning concepts for roadside video data processing, and offers a detailed analysis of the segmentation, feature extraction and classification processes. Lastly, it demonstrates the applications of roadside video data analysis including scene labelling, roadside vegetation classification and vegetation biomass estimation in fire risk assessment.. |
| 出版日期 | Book 2017 |
| 關(guān)鍵詞 | Feature extraction; Classified roadside objects; Roadside Fire Risk Assessment; Neural Network Learning |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-10-4539-4 |
| isbn_softcover | 978-981-13-5162-4 |
| isbn_ebook | 978-981-10-4539-4Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer Nature Singapore Pte Ltd. 2017 |
|Archiver|手機版|小黑屋|
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