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

本書詳細闡述了模糊機器學習和深度學習模型，針對多感測器、多時相的遙感影像進行單類別映射，同時處理混合像素和噪聲。書中還涵蓋了時間數據的預處理和光譜降維方法。此外，還討論了「個別樣本作為均值」的訓練方法，以處理類別內的異質性。書的附錄部分包括案例研究，例如作物類型映射、森林物種識別和燒秧稻田的映射。

主要特點：
- 專注於使用多感測器、多時相數據，同時處理類別之間的光譜重疊
- 討論一系列能夠提取特定單類別並分離噪聲的模糊/深度學習模型
- 描述使用光譜、紋理、CBSI指數和反向散射係數/雷達植被指數（RVI）進行預處理
- 討論訓練數據在處理類別內異質性中的作用
- 通過內部SMIC軟體支持多感測器和多時相數據處理
- 包含單類別映射的案例研究和實際應用

本書適合研究生/碩士生、研究學者以及在環境、地理、計算機科學、遙感、地理資訊科學、林業、農業、災後重建、城市轉型研究及其他相關領域工作的專業人士。

Anil Kumar is a scientist/engineer 'SG' and the head of the 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 with the University of Lucknow, India, and his M.E. degree, as well as his Ph.D. in soft computing, from the Indian Institute of Technology, Roorkee, India. So far, he has guided eight Ph.D. thesis, and eight more are in progress. He has also guided several dissertations of M.Tech., M.Sc., B.Tech., and postgraduate diploma courses. He always loves to work with Ph.D. scholars and masters and graduate students for their research work, and to motivate them to adopt research-oriented professional careers. 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 areas 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 the 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 the book Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification with CRC Press.

Priyadarshi Upadhyay 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 B.Sc. and M.Sc. degrees 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 papers in SCI-listed, peer-reviewed journals. He has written the book Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification with CRC Press. His research areas are related to the application of time-series remote-sensing, soft computing, and machine-learning algorithms for specific land-cover extraction. He is a life member of the Indian Society of Remote Sensing and is 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 to name a few Indian National Cartographic Association (INCA), Indian Institute of Geomorphologist (IGI), National Association of Geographers (NAGI). She has also guided many PG and UG project dissertations and has guided post-doctoral research. Presently, she also holds the office of the course coordinator for ISRO's sponsored EDUSAT Outreach program for learning geospatial techniques and the course coordinator for soft-skill development programs in the same field in Prayagraj.

Anil Kumar 是印度太空研究組織 (ISRO) 德拉敦的印度遙感研究所 (IIRS) 照相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附屬的 IET 獲得土木工程的 B.Tech. 學位，並在印度理工學院 (IIT) 盧爾基獲得軟計算的碩士 (M.E.) 學位及博士學位。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 (M.Tech.)、碩士 (M.Sc.)、學士 (B.Tech.) 及研究生文憑課程的論文。他總是喜歡與博士生及碩士和研究生合作進行研究工作，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最先進的模糊基算法而獲得 Pisharoth Rama Pisharoty 獎。他目前的研究興趣包括基於軟計算的機器學習、深度學習，針對特定類別識別的單日期及時間序列多傳感器遙感數據，以及通過內部開發的 SMIC 工具進行映射。他還從事數位照相測量、GPS/GNSS 和 LiDAR 領域的研究。他是與 CRC Press 合作撰寫的書籍 Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification 的作者。

Priyadarshi Upadhyay 目前在印度德拉敦的烏塔拉坎德太空應用中心 (USAC)，烏塔拉坎德政府資訊與科學技術部擔任科學家/工程師。他在印度奈尼塔爾的庫瑪雲大學獲得物理學的 B.Sc. 和 M.Sc. 學位，並在印度朗齊的比爾拉科技學院獲得遙感的 M.Tech. 學位。他在印度理工學院 (IIT) 盧爾基完成了土木工程下的測繪工程博士學位。他在影像處理的應用領域指導過多篇研究生及碩士論文，並在 SCI 列表的同行評審期刊上發表了多篇研究論文。他與 CRC Press 合作撰寫的書籍 Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification。他的研究領域與時間序列遙感、軟計算及機器學習算法在特定土地覆蓋提取的應用有關。他是印度遙感學會的終身會員，並且是印度工程師學會的副會員。

Uttara Singh 是阿拉哈巴德大學的校友，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。她對許多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綜合上。她是幾個知名學術社團的終身會員，例如印度國家製圖協會 (INCA)、印度地貌學會 (IGI)、國家地理學家協會 (NAGI)。她還指導過許多研究生和本科生的專案論文，並指導過博士後研究。目前，她還擔任 ISRO 贊助的 EDUSAT 外展計畫的課程協調員，該計畫旨在學習地理空間技術，並在普拉亞格拉傑擔任同一領域的軟技能發展計畫的課程協調員。