Classification Methods for Remotely Sensed Data
暫譯: 遙感數據的分類方法

Kavzoglu, Taskin, Tso, Brandt, Mather, Paul M.

Classification Methods for Remotely Sensed Data
  • 出版商: CRC
  • 出版日期: 2026-07-20
  • 售價: $2,880
  • 貴賓價: 9.5 折 $2,736
  • 語言: 英文
  • 頁數: 422
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032573953
  • ISBN-13: 9781032573953
  • 相關分類: DeepLearning、Data-visualization

    • 尚未上市，無法訂購

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商品描述

The third edition of the bestselling Classification Methods for Remotely Sensed Data covers current state-of-the-art machine learning algorithms and developments in the analysis of remotely sensed data. This book is thoroughly updated to meet the needs of readers today and provides six new chapters on deep learning, feature extraction and selection, multisource image fusion, hyperparameter optimization, accuracy assessment with model explainability, and object-based image analysis, which is relatively a new paradigm in image processing and classification. It presents new AI-based analysis tools and metrics together with ongoing debates on accuracy assessment strategies and XAI methods.

New in this edition:

  • Provides comprehensive background on the theory of deep learning and its application to remote sensing data.
  • Includes a chapter on hyperparameter optimization techniques to guarantee the highest performance in classification applications.
  • Outlines the latest strategies and accuracy measures in accuracy assessment and summarizes accuracy metrics and assessment strategies.
  • Discusses the methods used for explaining inherent structures and weighing the features of ML and AI algorithms that are critical for explaining the robustness of the models.

This book is intended for industry professionals, researchers, academics, and graduate students who want a thorough and up-to-date guide to the many and varied techniques of image classification applied in the fields of geography, geospatial and earth sciences, electronic and computer science, environmental engineering, etc.

商品描述(中文翻譯)

第三版的暢銷書《遙感數據的分類方法》涵蓋了當前最先進的機器學習演算法及遙感數據分析的發展。本書經過全面更新，以滿足當今讀者的需求，並提供六個新章節，內容包括深度學習、特徵提取與選擇、多源影像融合、超參數優化、結合模型可解釋性的準確性評估，以及物件導向影像分析，這在影像處理和分類中相對是一種新範式。本書介紹了新的基於人工智慧的分析工具和指標，並討論了有關準確性評估策略和可解釋人工智慧（XAI）方法的持續辯論。

本版的新內容：
- 提供深度學習理論及其在遙感數據應用中的全面背景。
- 包含一章關於超參數優化技術，以確保分類應用中的最高性能。
- 概述準確性評估中的最新策略和準確性指標，並總結準確性指標和評估策略。
- 討論用於解釋內在結構的方法，以及對機器學習（ML）和人工智慧（AI）演算法特徵的權重，這對於解釋模型的穩健性至關重要。

本書旨在為行業專業人士、研究人員、學者和研究生提供一份全面且最新的指南，涵蓋地理學、地理空間與地球科學、電子與計算機科學、環境工程等領域中應用的各種影像分類技術。

作者簡介

Professor Taskin Kavzoglu is a senior researcher in remote sensing with more than 25 years of research experience in Earth observation/remote sensing. He has published more than 150 papers in peer-reviewed journals and international conference proceedings. He received his M.Sc. in Geographical Information Systems and Ph.D. in Remote Sensing from Nottingham University, UK. Currently, he is a professor at Gebze Technical University, Turkey and a member of Turkish Academy of Sciences. He was awarded an ESRI project award in 2019 and best paper award by American Society for Photogrammetry and Remote Sensing (ASPRS) in 2020. He currently serves on the editorial boards of several international journals.

Dr. Brandt Tso is a retired scientist in Taiwan. He received his Ph.D. degree from the School of Geography, The University of Nottingham, U.K., under the supervision of Professor Paul M. Mather. In 2003, Dr. Tso was a postdoctoral fellow at the Remote Sensing Laboratory, Physics Department, Naval Postgraduate School, Monterey, California, U.S.A. Dr. Tso was an associate professor in the information science department, Management College, National Defense University, Taiwan. He has published numerous research papers.

Professor Paul M. Mather (Deceased) graduated from the University of Cambridge in 1966 and in 1969 received his Ph.D. from The University of Nottingham, UK. where he continued as a lecturer, senior lecturer, and full professor from 1988 until he retired in 2006 as an Emeritus Professor. He received the Back Award from the Royal Geographical Society for his work in remote sensing in 1992, and in 2002 was awarded the Order of the British Empire (OBE) by Her Majesty Queen Elizabeth II for services to remote sensing. He lectured in a number of countries around the world.

作者簡介(中文翻譯)

卡夫佐格盧教授 (Taskin Kavzoglu) 是一位資深的遙感研究員，擁有超過 25 年的地球觀測/遙感研究經驗。他在同行評審的期刊和國際會議論文集中發表了超過 150 篇論文。他在英國諾丁漢大學獲得地理資訊系統碩士學位及遙感博士學位。目前，他是土耳其 Gebze 技術大學的教授，也是土耳其科學院的成員。他於 2019 年獲得 ESRI 項目獎，並於 2020 年獲得美國攝影測量與遙感學會 (ASPRS) 的最佳論文獎。他目前擔任多本國際期刊的編輯委員會成員。

左邦德博士 (Brandt Tso) 是一位退休的科學家，來自台灣。他在英國諾丁漢大學地理學院獲得博士學位，指導教授為保羅·M·馬瑟教授 (Paul M. Mather)。在 2003 年，左博士曾在美國加州蒙特雷的海軍研究生院物理系遙感實驗室擔任博士後研究員。左博士曾是國防醫學院資訊科學系的副教授。他發表了許多研究論文。

保羅·M·馬瑟教授 (Paul M. Mather)（已故）於 1966 年畢業於劍橋大學，並於 1969 年在英國諾丁漢大學獲得博士學位，隨後在該校擔任講師、高級講師及正教授，直到 2006 年退休，成為名譽教授。他於 1992 年因在遙感領域的工作獲得英國皇家地理學會的 Back 獎，並於 2002 年獲得英女皇伊莉莎白二世頒發的英帝國勳章 (OBE)，以表彰他對遙感的貢獻。他曾在世界多個國家講授課程。

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