Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

2018 | ISBN: 1498774334 | English | 528 Pages | PDF | 63 MB

Combining versatile data sets from multiple satellite sensors with advanced thematic information retrieval is a powerful way for studying complex earth systems. The book Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing offers complete understanding of the basic scientific principles needed to perform image processing, gap filling, data merging, data fusion, machine learning, and feature extraction. Written by two experts in remote sensing, the book presents the required basic concepts, tools, algorithms, platforms, and technology hubs toward advanced integration. By merging and fusing data sets collected from different satellite sensors with common features, we are enabled to utilize the strength of each satellite sensor to the maximum extent. The inclusion of machine learning or data mining techniques to aid in feature extraction after gap filling, data merging and/or data fusion further empowers earth observation, leading to confirm the whole is greater than the sum of its parts. Contemporary applications discussed in this book make all essential knowledge seamlessly integrated by an interdisciplinary manner. These case-based engineering practices uniquely illustrate how to improve such an emerging field of importance to cope with the most challenging real-world environmental monitoring issues.

Download:

http://longfiles.com/7jrzj49fljp7/Multisensor_Data_Fusion_and_Machine_Learning_for_Environmental_Remote_Sensing.pdf.html

[Fast Download] Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing


Ebooks related to "Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing" :
Communication Protocol Engineering, Second Edition
Hierarchical Topology Control for Wireless Networks: Theory, Algorithms, and Simulation
Novel Motion Anchoring Strategies for Wavelet-based Highly Scalable Video Compression
Ad Hoc Networks: A Statistical Perspective
Proceedings of the International Conference on Computing and Communication Systems
Telecom Crash Course
The Customer-Driven Playbook: Converting Customer Feedback into Successful Products
Software Quality: Complexity and Challenges of Software Engineering in Emerging Technologies
CCNA Routing and Switching Review Guide: Exams 100-101, 200-101, and 200-120
Constraint Solving over Multi-valued Logics: Application to Digital Circuits
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.