Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition
暫譯: 遙感中的影像分析、分類與變化檢測：Python 演算法（第四版）
Canty, Morton John
- 出版商: CRC
- 出版日期: 2019-03-20
- 售價: $6,500
- 貴賓價: 9.5 折 $6,175
- 語言: 英文
- 頁數: 530
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1138613223
- ISBN-13: 9781138613225
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相關分類:
Python、程式語言、Algorithms-data-structures
海外代購書籍(需單獨結帳)
商品描述
Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fourth Edition, is focused on the development and implementation of statistically motivated, data-driven techniques for digital image analysis of remotely sensed imagery and it features a tight interweaving of statistical and machine learning theory of algorithms with computer codes. It develops statistical methods for the analysis of optical/infrared and synthetic aperture radar (SAR) imagery, including wavelet transformations, kernel methods for nonlinear classification, as well as an introduction to deep learning in the context of feed forward neural networks.
New in the Fourth Edition:
- An in-depth treatment of a recent sequential change detection algorithm for polarimetric SAR image time series.
- The accompanying software consists of Python (open source) versions of all of the main image analysis algorithms.
- Presents easy, platform-independent software installation methods (Docker containerization).
- Utilizes freely accessible imagery via the Google Earth Engine and provides many examples of cloud programming (Google Earth Engine API).
- Examines deep learning examples including TensorFlow and a sound introduction to neural networks,
Based on the success and the reputation of the previous editions and compared to other textbooks in the market, Professor Canty's fourth edition differs in the depth and sophistication of the material treated as well as in its consistent use of computer codes to illustrate the methods and algorithms discussed. It is self-contained and illustrated with many programming examples, all of which can be conveniently run in a web browser. Each chapter concludes with exercises complementing or extending the material in the text.
商品描述(中文翻譯)
《遙感中的影像分析、分類與變化檢測：Python 演算法（第四版）》專注於基於統計的數據驅動技術的開發與實施，旨在對遙感影像進行數位影像分析，並緊密結合統計與機器學習理論的演算法與電腦程式碼。該書發展了光學/紅外線及合成孔徑雷達（SAR）影像分析的統計方法，包括小波變換、非線性分類的核方法，以及在前饋神經網絡背景下的深度學習介紹。
第四版的新內容：
- 深入探討最近的極化 SAR 影像時間序列的序列變化檢測演算法。
- 附帶的軟體包含所有主要影像分析演算法的 Python（開源）版本。
- 提供簡單、平台無關的軟體安裝方法（Docker 容器化）。
- 利用 Google Earth Engine 提供的免費影像，並提供許多雲端程式設計的範例（Google Earth Engine API）。
- 檢視深度學習範例，包括 TensorFlow 及對神經網絡的簡明介紹。
基於前幾版的成功與聲譽，與市場上其他教科書相比，Canty 教授的第四版在所處理的材料深度與複雜性上有所不同，並且一致使用電腦程式碼來說明所討論的方法與演算法。該書內容完整，並附有許多程式設計範例，所有範例均可方便地在網頁瀏覽器中運行。每章結尾都有練習題，以補充或擴展文本中的內容。
作者簡介
Morton John Canty is a senior research scientist in the Institute for Bio- and Geosciences at the Juelich Research Center in Germany, now semi-retired. He received his PhD in Nuclear Physics in 1969 at the University of Manitoba, Canada and, after post-doctoral positions in Bonn, Groningen and Marburg, began work in Juelich in 1979. There, his principal interests have been the development of statistical and gametheoretical models for the verification of international treaties and the use of remote sensing data for monitoring global treaty compliance. He has served on numerous advisory bodies to the German federal government and to the International Atomic Energy Agency in Vienna and was a coordinator within the European Network of Excellence on Global Monitoring for Security and Stability, funded by the European Commission. Morton Canty is the author of three monographs in the German language: on the subject of non-linear dynamics (Chaos und Systeme, Vieweg, 1995), neural networks for classification of remote sensing data (Fernerkundung mit neuronalen Netzen, Expert, 1999) and algorithmic game theory (Konfliktl]osungen mit Mathematica, Springer 2000). The latter text has appeared in a revised English version (Resolving Conflicts withMathematica, Academic Press, 2003). He is co-author of a monograph on mathematical methods for treaty verification (Compliance Quantified, Cambridge University Press, 1996). He has published many papers on the subjects of experimental nuclear physics, nuclear safeguards, applied game theory and remote sensing. He has lectured on nonlinear dynamical growth models and remote sensing digital image analysis to students at both the graduate and undergraduate level at Universities in Bonn, Berlin, Freiberg/Saxony and Rome.
作者簡介(中文翻譯)
莫頓·約翰·坎提是德國尤利希研究中心生物與地球科學研究所的高級研究科學家，目前已半退休。他於1969年在加拿大曼尼托巴大學獲得核物理博士學位，並在波恩、格羅寧根和馬爾堡擔任博士後研究職位後，於1979年開始在尤利希工作。在那裡，他的主要研究興趣是開發統計和博弈論模型，以驗證國際條約，以及利用遙感數據監測全球條約遵守情況。他曾在德國聯邦政府和維也納國際原子能機構的多個諮詢機構中任職，並擔任歐洲委員會資助的全球安全與穩定監測卓越網絡的協調員。莫頓·坎提是三本德語專著的作者：關於非線性動力學的《混沌與系統》（Chaos und Systeme, Vieweg, 1995）、用於遙感數據分類的神經網絡的《利用神經網絡進行遙感》（Fernerkundung mit neuronalen Netzen, Expert, 1999）以及算法博弈論的《用Mathematica解決衝突》（Konfliktlösungen mit Mathematica, Springer 2000）。後者的文本已以修訂的英文版本出版（Resolving Conflicts with Mathematica, Academic Press, 2003）。他還是關於條約驗證的數學方法專著《合規量化》（Compliance Quantified, Cambridge University Press, 1996）的共同作者。他在實驗核物理、核保障、應用博弈論和遙感等主題上發表了許多論文。他曾在波恩、柏林、弗賴貝格/薩克森和羅馬的多所大學為研究生和本科生講授非線性動態增長模型和遙感數字影像分析。
