Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification

Kumar, Anil, Upadhyay, Priyadarshi, Kumar, A. Senthil

Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification
  • 出版商: CRC
  • 出版日期: 2023-09-25
  • 定價: $2,350
  • 售價: 8.5 折 $1,998 (限時優惠至 2024-11-05)
  • 語言: 英文
  • 頁數: 194
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367355744
  • ISBN-13: 9780367355746
  • 相關分類: Machine Learning、Algorithms-data-structures

    • 立即出貨 (庫存=1)

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商品描述

This book covers the state-of-art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy machine learning and deep learning algorithms. Both types of algorithms are described in such details that these can be implemented directly for thematic mapping of multiple-class or specific-class landcover from multispectral optical remote sensing data. These algorithms along with multi-date, multi-sensor remote sensing are capable to monitor specific stage (for e.g., phenology of growing crop) of a particular class also included. With these capabilities fuzzy machine learning algorithms have strong applications in areas like crop insurance, forest fire mapping, stubble burning, post disaster damage mapping etc. It also provides details about the temporal indices database using proposed Class Based Sensor Independent (CBSI) approach supported by practical examples. As well, this book addresses other related algorithms based on distance, kernel based as well as spatial information through Markov Random Field (MRF)/Local convolution methods to handle mixed pixels, non-linearity and noisy pixels.

Further, this book covers about techniques for quantiative assessment of soft classified fraction outputs from soft classification and supported by in-house developed tool called sub-pixel multi-spectral image classifier (SMIC). It is aimed at graduate, postgraduate, research scholars and working professionals of different branches such as Geoinformation sciences, Geography, Electrical, Electronics and Computer Sciences etc., working in the fields of earth observation and satellite image processing. Learning algorithms discussed in this book may also be useful in other related fields, for example, in medical imaging. Overall, this book aims to:

  • exclusive focus on using large range of fuzzy classification algorithms for remote sensing images;

  • discuss ANN, CNN, RNN, and hybrid learning classifiers application on remote sensing images;

  • describe sub-pixel multi-spectral image classifier tool (SMIC) to support discussed fuzzy and learning algorithms;

  • explain how to assess soft classified outputs as fraction images using fuzzy error matrix (FERM) and its advance versions with FERM tool, Entropy, Correlation Coefficient, Root Mean Square Error and Receiver Operating Characteristic (ROC) methods and;

  • combines explanation of the algorithms with case studies and practical applications.

作者簡介

Anil Kumar is working as Scientist/Engineer-'SG' & Head Photogrammetry and Remote Sensing Department at Indian Institute of Remote Sensing (IIRS), Indian Space Research organisation (ISRO), Dehradun, India. He received his B.Tech degree in Civil Engineering from University of Lucknow, India and M.E. degre as well as inservise Ph.D in soft computing from Indian Institute of Technology, Roorkee, India. He has published 46 papers in journals. Guided 36 masters and 5 Ph.D thesis. He has been recipient of the prestigious P. R. Pisharoty Memorial Award conferred by the Indian Society of Remote Sensing. He is a life member of the Indian Society of Remote Sensing. His current research interests are in Soft computing, Deep Learning, Multi-sensor temporal data processing, Digital Photogrammetry, GPS and LiDAR.

Priyadarshi Upadhyay is working as a Scientist/Engineer-SD in Uttarakhand Space Application Centre (USAC), Dehradun, India. He received his M.Sc. degree in Physics from Kumaun University Nainital, India and M.Tech. degree in Remote Sensing from Birla Institute of Technology, Mesra Ranchi, India. He has received his Ph.D. degree from Indian Institute of Technology Roorkee, India in the area of time series remote sensing for single crop identification. He has published 15 research papers in various International Journals, Internation and National Conferences. He has been awarded by presitigious CSIR-NET, GATE and MHRD Travel Grant Fellowships. He is a life member of Indian Society of Remote Sensing and The Institute of Engineers (India). His current research interest are Microwave Remote Sensing for Soil Moisture and Crop Mapping, Polarimatric and Inerferrometric SAR, Hyperspectral and Optical Remote Sensing, Climate Change, Ecological Studies in Himalayan Region for Economically Important Crops and Plants.

A. Senthil Kumar is the Director of UN-affliated Centre for Space Science and Technology Education in Asia and the Pacific in Dehradun, India. He received M.Sc. (Engg.) and Ph.D. from the Indian Institute of Science, Bangalore in the field of image processing in 1985 and 1990 respectively. He joined ISRO in 1991. Since then he has served in Indian Remote Sensing programs in various capacities. He has published more than 120 technical papers in international journals and conferences and co-edited a book on Remote Sensing of Northwest Himalayan Ecosystems. He has received ISRO Team awards for his contributions to Chandrayaan-1 and Cartosat-1 missions. His research areas include remote sensing sensor characterization, radiometric data processing, image restoration, data fusion techniques and in soft computing techniques. He has also been a recipient of the prestigious Prof. Satish Dhawan Award conferred by the Indian Society of Remote Sensing. He is a life member of the Indian Society of Remote Sensing and the Indian Society of Geomatics.

作者簡介(中文翻譯)

Anil Kumar在印度德拉敦的印度遙感研究所（IIRS）工作，擔任科學家/工程師-'SG'和攝影測量與遙感部門主任。他在印度運輸部遙感組織（ISRO）獲得了土木工程學士學位，並在印度羅爾基爾的印度理工學院獲得了碩士學位和在職博士學位。他在期刊上發表了46篇論文，指導了36位碩士生和5位博士生。他曾獲得印度遙感學會頒發的著名P. R. Pisharoty紀念獎，並是印度遙感學會的終身會員。他目前的研究興趣包括軟計算、深度學習、多傳感器時間數據處理、數字攝影測量、GPS和LiDAR。

Priyadarshi Upadhyay在印度德拉敦的Uttarakhand Space Application Centre（USAC）擔任科學家/工程師-SD。他在印度Kumaun大學獲得物理學碩士學位，並在印度比爾拉理工學院獲得遙感技術碩士學位。他在印度羅爾基爾的印度理工學院獲得了博士學位，研究領域是時間序列遙感用於單一作物識別。他在各種國際期刊、國際和國內會議上發表了15篇研究論文。他曾獲得印度CSIR-NET、GATE和MHRD Travel Grant Fellowships的獎項。他是印度遙感學會和印度工程師學會的終身會員。他目前的研究興趣包括用於土壤濕度和作物分布的微波遙感、極化和干涉合成孔徑雷達、高光譜和光學遙感、氣候變化、喜馬拉雅地區的生態研究以及經濟重要作物和植物。

A. Senthil Kumar是位於印度德拉敦的聯合國太空科學與技術教育中心的主任。他於1985年和1990年在印度科學研究所獲得了碩士和博士學位，專攻影像處理。他於1991年加入ISRO，並在印度遙感計劃中擔任多個職位。他在國際期刊和會議上發表了超過120篇技術論文，並共同編輯了一本關於西北喜馬拉雅生態系統的遙感書籍。他因對Chandrayaan-1和Cartosat-1任務的貢獻而獲得ISRO團隊獎。他的研究領域包括遙感傳感器特性化、輻射數據處理、圖像恢復、數據融合技術和軟計算技術。他還曾獲得印度遙感學會頒發的著名Satish Dhawan教授獎，並是印度遙感學會和印度測繪學會的終身會員。

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