Generative AI for Remote Sensing of the Environment: Algorithms and Applications
暫譯: 環境遙感的生成式 AI：演算法與應用

Sood, Vishakha, Srivastav, Arun Lal, Kaur, Ravneet

Generative AI for Remote Sensing of the Environment: Algorithms and Applications
  • 出版商: CRC
  • 出版日期: 2026-04-14
  • 售價: $5,660
  • 貴賓價: 9.5 折 $5,377
  • 語言: 英文
  • 頁數: 310
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041017448
  • ISBN-13: 9781041017448
  • 相關分類: GAN 生成對抗網絡

    • 尚未上市，無法訂購

商品描述

This book explores the cutting-edge integration of generative artifical intelligence (AI) techniques to enhance environmental remote sensing, providing a comprehensive guide from foundational algorithms to practical applications. It explains how advanced AI technology can be used to improve the way we monitor and understand the environment from a distance, such as through satellites or drones. It starts with an explanation of basic algorithms behind generative AI and gradually moves to complex algorithms, showing how they can be applied to real-world environmental issues, such as tracking climate change, monitoring deforestation, and predicting natural disasters.

Features

  • Includes real-world examples and case studies showing how generative AI improves environmental monitoring.
  • Provides step-by-step explanations of algorithms and their implementation.
  • Explains complex concepts in simple and easy-to-understand language and introduces strategies to address environmental challenges using AI-driven solutions.
  • Offers cutting-edge research and advancements in AI and remote sensing, including the application of generative AI models like GANs and VAEs.
  • Applies to diverse fields such as urban planning, agriculture, and disaster management.
  • Discusses ethical considerations and challenges when integrating AI with remote sensing.

This book is for researchers and practitioners in environmental monitoring, urban planning, agriculture, and disaster management using remote sensing technologies and AI to address environmental challenges and sustainability. It is also intended for university professors, graduate, and postgraduate students in environmental science, geospatial analysis, computer science, and data science working on projects related to AI and remote sensing.

商品描述(中文翻譯)

這本書探討了生成式人工智慧（AI）技術的前沿整合，以增強環境遙感，提供從基礎演算法到實際應用的全面指南。它解釋了先進的AI技術如何改善我們從遠處監測和理解環境的方式，例如通過衛星或無人機。書中首先介紹生成式AI背後的基本演算法，然後逐漸深入到複雜的演算法，展示它們如何應用於現實世界的環境問題，例如追蹤氣候變遷、監測森林砍伐和預測自然災害。

特色
- 包含現實世界的例子和案例研究，展示生成式AI如何改善環境監測。
- 提供演算法及其實現的逐步解釋。
- 用簡單易懂的語言解釋複雜概念，並介紹使用AI驅動解決方案應對環境挑戰的策略。
- 提供AI和遙感領域的前沿研究和進展，包括生成式AI模型如GANs和VAEs的應用。
- 適用於城市規劃、農業和災害管理等多個領域。
- 討論將AI與遙感整合時的倫理考量和挑戰。

這本書適合從事環境監測、城市規劃、農業和災害管理的研究人員和實務工作者，利用遙感技術和AI應對環境挑戰和可持續性問題。它也適合大學教授、研究生和碩士生，特別是在環境科學、地理空間分析、計算機科學和數據科學等領域，從事與AI和遙感相關的項目。

作者簡介

Dr. Vishakha Sood is working as a Scientist at the Indian Institute of Technology, Ropar, Punjab under the Women Scientist Scheme (WOS-A) by the Department of Science and Technology (DST), Govt. of India. She is also the founder of a company named Aiotronics Automation Pvt.Ltd. She has more than 10 years of academic and research experience and received her PhD in Electronics and Communication Engineering from Chitkara University, Punjab in 2020. She has authored more than 15 SCI-indexed articles and SCOPUS indexed book chapters and holds many inventions. Her research interests include satellite sensors, remote sensing, and digital image analysis. She is IEEE Senior Member and active member of various societies such as Indian Society of Remote Sensing (ISRS), and European Geoscience Union (EGU), among others.

Dr Arun Lal Srivastav is an Associate Professor at Chitkara University School of Engineering and Technology in Himachal Pradesh, India. He received his PhD from the Indian Institute of Technology (BHU), Varanasi in water treatment. His research interests include water quality surveillance, climate change, water treatment, river ecosystem, soil health maintenance, etc. He has published over 100 research papers in various prestigious journals and has edited several books. He received the prestigious Teachers Associateship for Research Excellence (TARE) Fellowship and holds 12 patents on multidisciplinary topics granted by the Government of India.

Ravneet Kaur is working at the Chandigarh University, India and is pursuing her Ph.D. in Computer Science Engineering from Punjabi University, Patiala, Punjab, India. She has more than 15 years of research and teaching experience from Shaheed Udham Singh College of Engineering and Technology, India and Continental Institute of Engineering and Technology, India, and has authored SCI and Scopus Indexed articles and holds several patents. Her area of interest includes image analysis, machine learning, and deep learning.

Neha Bhati is a Research Associate at Flexxited, Bangalore, contributing to pioneering research in Remote Sensing, the Internet of Things (IoT), Machine Learning and Deep Learning. She is a reviewer of journal articles and conference papers.

作者簡介(中文翻譯)

Dr. Vishakha Sood 目前在印度旁遮普邦的印度理工學院羅帕爾校區擔任科學家，隸屬於印度政府科學與技術部的女性科學家計畫 (WOS-A)。她也是名為 Aiotronics Automation Pvt.Ltd. 的公司的創辦人。她擁有超過 10 年的學術和研究經驗，並於 2020 年在旁遮普的 Chitkara 大學獲得電子與通信工程博士學位。她已發表超過 15 篇 SCI 索引文章和 SCOPUS 索引的書章，並擁有多項發明。她的研究興趣包括衛星感測器、遙感技術和數位影像分析。她是 IEEE 高級會員，並且是多個學會的活躍成員，如印度遙感學會 (ISRS) 和歐洲地球科學聯合會 (EGU) 等。

Dr. Arun Lal Srivastav 是印度喜馬偕爾邦 Chitkara 大學工程與技術學院的副教授。他在印度理工學院 (BHU) 瓦拉納西獲得水處理的博士學位。他的研究興趣包括水質監測、氣候變遷、水處理、河流生態系統、土壤健康維護等。他在多個知名期刊上發表了超過 100 篇研究論文，並編輯了幾本書籍。他獲得了享有盛譽的教師研究卓越獎助金 (TARE) 獎學金，並持有 12 項由印度政府授予的多學科專利。

Ravneet Kaur 目前在印度昌迪加爾大學工作，並在旁遮普大學 (Punjabi University) 追求計算機科學工程的博士學位。她擁有來自印度 Shaheed Udham Singh 工程與技術學院和 Continental 工程與技術學院的超過 15 年的研究和教學經驗，並發表了 SCI 和 Scopus 索引的文章，擁有多項專利。她的研究領域包括影像分析、機器學習和深度學習。

Neha Bhati 是位於班加羅爾的 Flexxited 的研究助理，致力於遙感、物聯網 (IoT)、機器學習和深度學習的前沿研究。她是期刊文章和會議論文的審稿人。

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