Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python
暫譯: 遙感中的影像分析、分類與變化檢測：附 Python 演算法

Canty, Morton John

Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python
  • 出版商: CRC
  • 出版日期: 2025-06-02
  • 售價: $4,920
  • 貴賓價: 9.5 折 $4,674
  • 語言: 英文
  • 頁數: 532
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 103282168X
  • ISBN-13: 9781032821689
  • 相關分類: Python、程式語言、Algorithms-data-structures

    • 海外代購書籍(需單獨結帳)

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商品描述

The fifth edition of this core textbook in advanced remote sensing continues to maintain its emphasis on statistically motivated, data-driven techniques for remote sensing image analysis. The theoretical substance remains essentially the same, with new material on convolutional neural networks, transfer learning, image segmentation, random forests, and an extended implementation of sequential change detection with radar satellites. The tools which apply the algorithms to real remote sensing data are brought thoroughly up to date. As these software tools have evolved substantially with time, the fifth edition replaces the now obsolete Python 2 with Python 3 and takes advantage of the high-level packages that are based on it, such as Colab, TensorFlow/KERAS, Scikit-Learn, and the Google Earth Engine Python API.

New in the Fifth Edition:

  • Thoroughly revised to include the updates needed in all chapters because of the necessary changes to the software.
  • Replaces Python 2 with Python 3 tools and updates all associated subroutines, Jupyter notebooks and Python scripts.
  • Presents easy, platform-independent software installation methods with Docker containers.
  • Each chapter concludes with exercises complementing or extending the material in the text.
  • 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.

This new text is essential for all upper-level undergraduate and graduate students pursuing degrees in Geography, Geology, Geophysics, Environmental Sciences and Engineering, Urban Planning, and the many subdisciplines that include advanced courses in remote sensing. It is also a great resource for researchers and scientists interested in learning techniques and technologies for collecting, analyzing, managing, processing, and visualizing geospatial datasets.

商品描述(中文翻譯)

第五版的這本核心教科書專注於進階遙感技術，持續強調以統計為基礎、數據驅動的遙感影像分析技術。理論內容基本保持不變，新增了有關卷積神經網絡（convolutional neural networks）、遷移學習（transfer learning）、影像分割（image segmentation）、隨機森林（random forests）以及擴展的雷達衛星序列變化檢測實作的新材料。應用這些算法於實際遙感數據的工具也已全面更新。隨著這些軟體工具隨時間的演變，第五版用 Python 3 取代了已過時的 Python 2，並利用基於 Python 3 的高階套件，如 Colab、TensorFlow/KERAS、Scikit-Learn 和 Google Earth Engine Python API。

第五版的新內容：
- 全面修訂，包含因軟體必要變更而需更新的所有章節。
- 用 Python 3 工具取代 Python 2，並更新所有相關的子程序、Jupyter 筆記本和 Python 腳本。
- 提供簡單、平台無關的軟體安裝方法，使用 Docker 容器。
- 每章結尾都有練習題，補充或擴展文本中的材料。
- 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 和對神經網絡的簡要介紹。

這本新書對於所有攻讀地理學、地質學、地球物理學、環境科學與工程、城市規劃及包括進階遙感課程的多個子學科的高年級本科生和研究生來說都是必不可少的資源。對於有興趣學習收集、分析、管理、處理和可視化地理空間數據集技術和技術的研究人員和科學家來說，這也是一個很好的資源。

作者簡介

Morton John Canty, now semi-retired, was a senior research scientist in the Institute for Bio- and Geosciences at the Jülich Research Center in Germany. 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 Jülich in 1979. There, his principal interests have been the development of statistical and game-theoretical 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 (Konfliktlösungen mit Mathematica, Springer 2000). The latter text has appeared in a revised English version (Resolving Conflicts with Mathematica, 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 and has lectured on nonlinear dynamical growth models and remote sensing digital image analysis at Universities in Bonn, Berlin, Freiberg/Saxony, and Rome.

作者簡介(中文翻譯)

莫頓·約翰·坎提（Morton John Canty）目前半退休，曾是德國尤利希研究中心（Jülich Research Center）生物與地球科學研究所的高級研究科學家。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用於國際條約驗證的統計和博弈論模型，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，分別是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，並在波恩、柏林、弗賴貝格/薩克森和羅馬的多所大學講授非線性動態增長模型和遙感數字影像分析。

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