"Crop Classification from UAV-Based Multi-spectral Images Using Deep Learning"

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Book	Author(s)	Year	Publisher
Multi-Rotor Platform-based UAV Systems	Franck Cazaurang; Kelly Cohen andManish Kumar	2020	ISTE
Improving Infrared-Based Precipitation Retrieval Algorithms Using Multi-Spectral Satellite Imagery	Nasrin Nasrollahi	2015	Springer International Publishing
Multi-UAV Planning and Task Allocation	Yasmina Bestaoui Sebbane	2020	Routledge
Stellar Spectral Classification	Richard O. Gray; Christopher J. Corbally	2009	Princeton University Press
Stellar spectral classification /	Gray, R. O.; Corbally, C. J.; Burgasser, Adam.	c2009.	Princeton University Press,
Deep Learning-Based Face Analytics	Nalini K Ratha; Vishal M. Patel; Rama Chellappa	1st ed. 2021	Springer International Publishing
Multi-faceted Deep Learning: Models and Data	Jenny Benois-Pineau; Akka Zemmari	1st ed. 2021	Springer International Publishing
Vision Based Systemsfor UAV Applications	Aleksander Nawrat; Zygmunt Kuś	2013	Springer International Publishing
Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques	Rik Das	2020	Routledge
Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch	Sridhar Alla; Suman Kalyan Adari	1st ed.	Apress
Deep Learning Based Speech Quality Prediction	Gabriel Mittag	1st ed. 2022	Springer International Publishing
Phishing Detection Using Content-Based Image Classification	Shekhar Khandelwal; Rik Das	2022	Routledge
Java Deep LearningCookbook - Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j.	Rahul Raj	2020	Packt
CROP CIRCLE CLASSIFICATION.	Patrick T. R. Palgrave-Moore	1991	Elvery Dowers
Deep Learning for Hyperspectral Image Analysis and Classification	Linmi Tao; Atif Mughees	1st ed. 2021	Springer Nature Singapore
Target detection and classification at Kernel Blitz 1997 using spectral imagery	Jeffrey D. Sanders	1999	Naval Postgraduate School;Available from National Technical Information Service
Introduction to Deep Learning Using R: A Step-by-Step Guide to Learning and Implementing Deep Learning Models Using R	Taweh Beysolow II	1st ed.	Apress
Deep Learning-Based Approaches for Sentiment Analysis	Basant Agarwal; Richi Nayak; Namita Mittal; Srikanta Patnaik	1st ed. 2020	Springer Nature Singapore
Practical Deep Learning: A Python-Based Introduction	Ron Kneusel	2021	No Starch Press
Using Blended Learning: Evidence-Based Practices	Khe Foon Hew; Wing Sum Cheung	2014	Springer Nature Singapore
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Crop Classification from UAV-Based Multi-spectral Images Using Deep Learning	B. Sudarshan Rao; Manjit Hota; Uttam Kumar	Computer Vision and Image Processing: 5th International Conference, CVIP 2020, Prayagraj, India, December 4-6, 2020, Revised Selected Papers, Part I	Satish Kumar Singh; Partha Roy; Balasubramanian Raman; P. Nagabhushan	1st ed. 2021	Springer Nature Singapore
Deep Learning-Based Object Classification for Spectral Images	Román Jácome; Carlos López; Hans Garcia; Henry Arguello	Applications of Computational Intelligence: Third IEEE Colombian Conference, ColCACI 2020, Cali, Colombia, August 7-8, 2020, Revised Selected Papers	Alvaro David Orjuela-Cañón; Jesus Lopez; Julián David Arias-Londoño; Juan Carlos Figueroa-García	1st ed. 2021	Springer International Publishing
Ship Classification from SAR Images Based on Deep Learning	Shintaro Hashimoto; Yohei Sugimoto; Ko Hamamoto; Naoki Ishihama	Intelligent Systems and Applications: Proceedings of the 2018 Intelligent Systems Conference (IntelliSys) Volume 1	Kohei Arai; Supriya Kapoor; Rahul Bhatia	1st ed. 2019	Springer International Publishing
Gender Classification from NIR Iris Images Using Deep Learning	Juan Tapia; Carlos Aravena	Deep Learning for Biometrics	Bir Bhanu; Ajay Kumar	1st ed. 2017	Springer International Publishing
Deep Learning-Based Multi-class 3D Objects Classification Using Digital Holographic Complex Images	R. N. Uma Mahesh; B. Lokesh Reddy; Anith Nelleri	Futuristic Communication and Network Technologies: Select Proceedings of VICFCNT 2020	A. Sivasubramanian; Prasad N. Shastry; Pua Chang Hong	1st ed. 2022	Springer Nature Singapore
Extraction of Parcel Boundary from UAV Images Using Deep Learning Techniques	Ganesh Khadanga; Kamal Jain	Advances in Signal Processing and Intelligent Recognition Systems: 6th International Symposium, SIRS 2020, Chennai, India, October 14–17, 2020, Revised Selected Papers	Sabu M. Thampi; Sri Krishnan; Rajesh M. Hegde; Domenico Ciuonzo; Thomas Hanne; Jagadeesh Kannan R.	1st ed. 2021	Springer Nature Singapore
Crop type identification using multi-temporal and multi-spectral satellite images	Kibruyesfa Sisay; Feras Ziadat	Mitigating Land Degradation and Improving Livelihoods: An Integrated Watershed Approach	Feras Ziadat	2015	Routledge
Group-Based Deep Reinforcement Learning in Multi-UAV Confrontation	Shengang Li; Baolai Wang; Tao Xie	Neural Information Processing: 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part V	Teddy Mantoro; Minho Lee; Media Anugerah Ayu; Kok Wai Wong; Achmad Nizar Hidayanto	1st ed. 2021	Springer International Publishing
UAV Classification with Deep Learning Using Surveillance Radar Data	Stamatios Samaras; Vasileios Magoulianitis; Anastasios Dimou; Dimitrios Zarpalas; Petros Daras	Computer Vision Systems: 12th International Conference, ICVS 2019, Thessaloniki, Greece, September 23–25, 2019, Proceedings	Dimitrios Tzovaras; Dimitrios Giakoumis; Markus Vincze; Antonis Argyros	1st ed. 2019	Springer International Publishing
Breast Cancer Detection and Classification from Images Using Deep Learning	Sundeep Saradhi Kanthety; Tejaswi Chitta; Yamini Chattu; Phaneendra Thupakula; Hari Gopal Chalamalasetty	Second International Conference on Image Processing and Capsule Networks: ICIPCN 2021	Joy Iong-Zong Chen; João Manuel R. S. Tavares; Abdullah M. Iliyasu; Ke-Lin Du	1st ed. 2022	Springer International Publishing
Remote Sensing-Based Crop Identification Using Deep Learning	E. Thangadeepiga; R. A. Alagu Raja	Intelligent Data Engineering and Analytics: Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 2	Suresh Chandra Satapathy; Yu-Dong Zhang; Vikrant Bhateja; Ritanjali Majhi	1st ed. 2021	Springer Nature Singapore
Deep Learning Based Classification of Microscopic Fungal Images	Amit Sharma; Ajay Lakhnotra; Jatinder Manhas; Devanand Padha	Rising Threats in Expert Applications and Solutions: Proceedings of FICR-TEAS 2022	Vijay Singh Rathore; Subhash Chander Sharma; Joao Manuel R.S. Tavares; Catarina Moreira; B. Surendiran	1st ed. 2022	Springer Nature Singapore
Classification of Computer Graphic Images Using Deep Learning	H. B. Basanth Kumar; H. R. Chennamma	Advances in Electrical and Computer Technologies: Select Proceedings of ICAECT 2020	Thangaprakash Sengodan; M. Murugappan; Sanjay Misra	1st ed. 2021	Springer Nature Singapore
Classification of Brain Tumor Images Using Enhanced Deep Learning-Based Methodologies	Aakash Paul; Priyanshi Chauhan; Himansh Sharma; Kartikay Khosla; Varun Srivastava; Ajay Kumar	Proceedings of International Conference on Data Science and Applications: ICDSA 2021, Volume 2	Mukesh Saraswat; Sarbani Roy; Chandreyee Chowdhury; Amir H. Gandomi	1st ed. 2022	Springer Nature Singapore
Story Generation from Images Using Deep Learning	Abrar Alnami; Miada Almasre; Norah Al-Malki	Information, Communication and Computing Technology: 6th International Conference, ICICCT 2021, New Delhi, India, May 8, 2021, Revised Selected Papers	Mahua Bhattacharya; Latika Kharb; Deepak Chahal	1st ed. 2021	Springer International Publishing
Multi Classification of Brain Tumor Detection Using MRI Images: Deep Learning Approach	Rushikesh Bedagkar; Amit D. Joshi; Suraj T. Sawant	Evolution in Computational Intelligence: Proceedings of the 9th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2021)	Vikrant Bhateja; Jinshan Tang; Suresh Chandra Satapathy; Peter Peer; Ranjita Das	1st ed. 2022	Springer Nature Singapore
Multi-label Land Cover Indices Classification of Satellite Images Using Deep Learning	Su Wit Yi Aung; Soe Soe Khaing; Shwe Thinzar Aung	Big Data Analysis and Deep Learning Applications: Proceedings of the First International Conference on Big Data Analysis and Deep Learning	Thi Thi Zin; Jerry Chun-Wei Lin	1st ed. 2019	Springer Nature Singapore
SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification	Umar Asif; Subhrajit Roy; Jianbin Tang; Stefan Harrer	Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology: Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings	Seyed Mostafa Kia; Hassan Mohy-ud-Din; Ahmed Abdulkadir; Cher Bass; Mohamad Habes; Jane Maryam Rondina; Chantal Tax; Hongzhi Wang; Thomas Wolfers; Saima Rathore; Madhura Ingalhalikar	1st ed. 2020	Springer International Publishing
Machine Learning Based Crop Detection from Soil Images	Pallavi Srivastava; Aasheesh Shukla; Atul Bansal	Proceedings of International Conference on Communication and Artificial Intelligence: ICCAI 2021	Vishal Goyal; Manish Gupta; Seyedali Mirjalili; Aditya Trivedi	1st ed. 2022	Springer Nature Singapore
Deep Learning Based Classification System for Identifying Weeds Using High-Resolution UAV Imagery	M. Dian Bah; Eric Dericquebourg; Adel Hafiane; Raphael Canals	Intelligent Computing: Proceedings of the 2018 Computing Conference, Volume 2	Kohei Arai; Supriya Kapoor; Rahul Bhatia	1st ed. 2019	Springer International Publishing
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