Multi-Sensor and Multi-Temporal Remote Sensing: Specific Single Class Mapping
暫譯: 多感測器與多時相遙感:特定單一類別映射
Kumar, Anil, Upadhyay, Priyadarshi, Singh, Uttara
- 出版商: CRC
- 出版日期: 2023-04-17
- 售價: $3,580
- 貴賓價: 9.5 折 $3,401
- 語言: 英文
- 頁數: 148
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032428325
- ISBN-13: 9781032428321
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相關分類:
感測器 Sensor
海外代購書籍(需單獨結帳)
商品描述
This book brings consolidated information in the form of fuzzy machine and deep learning models for single class mapping from multi-sensor multi-temporal remote sensing images at one place. It provides information about capabilities of multi-spectral and hyperspectral images, importance of dimensionality reduction, various spectral and texture-based indices, single, dual, or multi-sensor temporal sensor concepts, fuzzy machine learning models capable for single class mapping and associated deep learning-based models supported by case studies.
Provides detailed exposition to (hyperspectral and multispectral) remote sensing and related image processing, fuzzy set theoretic image processing and deep learning methods
Focusses on use of single, dual, multi-sensor multi-temporal data application for specific single class mapping
Reviews pre-processing of multi-sensor multi-temporal remote sensing data set and hyperspectral data set
Discusses both traditional machine learning and deep learning approaches
Includes case studies from crop mapping, forest species mapping, and stubble burnt paddy fields
This book is aimed at researchers and graduate students in remote sensing, image processing, environmental engineering, geomatics, and geoinformatics.
商品描述(中文翻譯)
這本書將模糊機器學習和深度學習模型的綜合資訊集中於單一類別映射,針對多感測器多時相遙感影像提供了一個完整的資源。它提供了多光譜和高光譜影像的能力、降維的重要性、各種基於光譜和紋理的指標、單一、雙重或多感測器的時相概念、適用於單一類別映射的模糊機器學習模型以及相關的深度學習模型,並附有案例研究。
提供對(高光譜和多光譜)遙感及相關影像處理、模糊集合理論影像處理和深度學習方法的詳細闡述。
專注於單一、雙重、多感測器多時相數據應用於特定單一類別映射的使用。
回顧多感測器多時相遙感數據集和高光譜數據集的前處理。
討論傳統機器學習和深度學習方法。
包括來自作物映射、森林物種映射和秸稈焚燒稻田的案例研究。
本書旨在為遙感、影像處理、環境工程、測量學和地理資訊科學的研究人員和研究生提供參考。
作者簡介
Anil Kumar is a scientist/engineer "SG" and the head of photogrammetry and remote sensing department of Indian Institute of Remote Sensing (IIRS), ISRO, Dehradun, India. He received his B.Tech degree in civil engineering from IET affiliated to the University of Lucknow, India, and M.E. degree as well as Ph.D in soft computing from the Indian Institute of Technology, Roorkee, India. So far, he has guided eight PhD thesis and eight more are in progress. He has also guided several dissertations of MTech, MSc, BTech, and postgraduate diploma courses. He always love to work with PhD scholars, Master and Graduate students for their research work, and motivate them to adopt research oriented professional carrier. He received the Pisharoth Rama Pisharoty award for contributing state of the art fuzzy based algorithms for earth observation data. His current research interests are in the area of soft computing based machine learning, deep learning for single date and temporal multi-sensor remote sensing data for specific class identification and mapping through in-house development of the SMIC tool. He also works in the area of digital photogrammetry, GPS/GNSS, and LiDAR. He is the author of book 'Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification' with CRC Press.
PriyadarshiUpadhyay is working as a Scientist/ Engineer in Uttarakhand Space Application Centre (USAC), Department of Information & Science Technology, Government of Uttarakhand, Dehradun, India. He received his BSc and Msc degree in Physics from Kumaun University, Nainital, India. He completed his M-Tech degree in Remote Sensing from Birla Institute of Technology Mesra, Ranchi, India. He completed his Ph.D. in Geomatics Engineering under Civil Engineering from IIT Roorkee, India. He has guided several graduate and post graduate dissertations in the application area of image processing. He has various research paper in SCI listed peer reviewed journals. He has written book on 'Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification' with CRC Press. His research areas are related to application of time series remote sensing, soft computing, machine learning algorithm for specific land cover extraction. He is a life member of 'Indian Society of Remote Sensing' and an associate member of 'The Institution of Engineers, India'.
Uttara Singh an alumna from the University of Allahabad, Prayagraj, is presently working as an Assistant Professor at CMP Degree College, University of Allahabad based in Prayagraj, Uttar Pradesh. Though being a native of U.P., she has travelled far and wide. She has contributed to numerous national and international publications, but her interests lie mainly in urban planning issues and synthesis. She is a life member of several academic societies of repute. She has also guided many PG and UG project dissertations and guiding Post-Doctoral research. Presently she is also holding the office as the course coordinator for ISRO's sponsored EDUSAT Outreach program for learning Geospatial Techniques and course coordinator for soft skill development programs in the same field in Prayagraj.
作者簡介(中文翻譯)
安尼爾·庫馬爾(Anil Kumar)是印度空間研究組織(ISRO)德拉敦的印度遙感研究所(IIRS)攝影測量與遙感部門的科學家/工程師 'SG' 及部門負責人。他在印度盧克瑙大學所屬的IET獲得土木工程的B.Tech學位,並在印度理工學院魯爾基分校獲得軟計算的碩士(M.E.)學位及博士(Ph.D.)學位。至今,他已指導八篇博士論文,另有八篇正在進行中。他還指導過多篇碩士(MTech)、理學碩士(MSc)、工學士(BTech)及研究生文憑課程的論文。他始終喜歡與博士生、碩士生及研究生合作進行研究,並激勵他們採取以研究為導向的職業生涯。他因為對地球觀測數據貢獻了最先進的模糊基算法而獲得Pisharoth Rama Pisharoty獎。他目前的研究興趣集中在基於軟計算的機器學習、深度學習,針對特定類別識別和映射的單日及時間多傳感器遙感數據,並通過內部開發的SMIC工具進行研究。他還從事數位攝影測量、GPS/GNSS及LiDAR領域的工作。他是與CRC Press合著的《遙感影像分類的模糊機器學習算法》一書的作者。
普里亞達爾希·烏帕德雅(Priyadarshi Upadhyay)目前在印度德拉敦的烏塔拉坎德空間應用中心(USAC)擔任科學家/工程師,隸屬於烏塔拉坎德政府的信息與科學技術部。他在印度奈尼塔爾的庫瑪雲大學獲得物理學的BSc和MSc學位,並在印度朗齊的比爾拉科技學院完成遙感的M-Tech學位。他在印度理工學院魯爾基分校完成了土木工程下的測繪工程博士(Ph.D.)學位。他在影像處理應用領域指導過多篇本科及研究生論文,並在SCI列名的同行評審期刊上發表了多篇研究論文。他與CRC Press合著了《遙感影像分類的模糊機器學習算法》一書。他的研究領域與時間序列遙感、軟計算及特定土地覆蓋提取的機器學習算法應用有關。他是「印度遙感學會」的終身會員,並且是「印度工程師協會」的副會員。
烏塔拉·辛格(Uttara Singh)是阿拉哈巴德大學(University of Allahabad)畢業生,目前在位於烏塔爾邦普拉亞格拉傑的CMP學位學院擔任助理教授。雖然她是烏塔爾邦的本地人,但她走遍了各地。她為多個國內外出版物做出了貢獻,但她的興趣主要集中在城市規劃問題及其綜合上。她是多個知名學術社團的終身會員。她還指導過許多研究生及本科生的項目論文,並指導博士後研究。目前,她還擔任ISRO贊助的EDUSAT外展計劃的課程協調員,負責教授地理空間技術,以及在普拉亞格拉傑同一領域的軟技能發展計劃的課程協調員。