| 書目名稱 | Remote Sensing Image Classification in R | | 編輯 | Courage Kamusoko | | 視頻video | http://file.papertrans.cn/827/826895/826895.mp4 | | 概述 | Is a one-stop reference book on remote sensing image processing and classification, machine learning and R.Provides a desktop step-by-step reference tutorial, which helps readers to learn quickly.Is b | | 叢書名稱 | Springer Geography | | 圖書封面 |  | | 描述 | .This book offers an introduction to remotely sensed image processing and classification in R using machine learning algorithms. It also provides a concise and practical reference tutorial, which equips readers to immediately start using the software platform and R packages for image processing and classification...This book is divided into five chapters. Chapter 1 introduces remote sensing digital image processing in R, while chapter 2 covers pre-processing. Chapter 3 focuses on image transformation, and chapter 4 addresses image classification. Lastly, chapter 5 deals with improving image classification..R is advantageous in that it is open source software, available free of charge and includes several useful features that are not available in commercial software packages. This book benefits all undergraduate and graduate students, researchers, university teachers and other remote- sensing practitioners interested in the practical implementation of remote sensing in R. | | 出版日期 | Book 2019 | | 關(guān)鍵詞 | Remotely-Sensed Image Classification; Image Classification with Machine Learning; Single-Date Image Cl | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-13-8012-9 | | isbn_ebook | 978-981-13-8012-9Series ISSN 2194-315X Series E-ISSN 2194-3168 | | issn_series | 2194-315X | | copyright | Springer Nature Singapore Pte Ltd. 2019 |
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