<P>Combining versatile data sets from multiple satellite sensors with advanced thematic information retrieval is a powerful way for studying complex earth systems. The book <B>Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing</B> offers complete understanding of the basic
Multisensor Image Fusion and Data Mining for Environmental Remote Sensing
โ Scribed by Bai, Kaixu; Chang, Ni-Bin
- Publisher
- Taylor and Francis
- Year
- 2017
- Tongue
- English
- Leaves
- 529
- Edition
- First edition
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
"Automated image fusion processes involving cross-mission of multiple satellites with the aid of ground-based sensor networks and databases are critical to support environmental decision-making. This book is unique because it rests upon a smooth integration between image fusion and data mining for information retrieval and content-based mapping in the context of different environmental applications, and it focuses Read more...
Abstract: "Automated image fusion processes involving cross-mission of multiple satellites with the aid of ground-based sensor networks and databases are critical to support environmental decision-making. This book is unique because it rests upon a smooth integration between image fusion and data mining for information retrieval and content-based mapping in the context of different environmental applications, and it focuses on environmental application issues at global and regional scale, while using local scale ground-truth data for calibration and validation. It has potential to be integrated with local scale data/image fusion based on local physical sensors and human observations."--Provided by publisher
โฆ Subjects
TECHNOLOGY & ENGINEERING / Imaging Systems.;TECHNOLOGY & ENGINEERING / Electrical.;Remote Sensing.;Image Processing.;Digital Signal Processing.
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