Imaging Spectroscopy for Scene Analysis: Advances in Computer Vision and Pattern Recognition

About the Book

Imaging Spectroscopy for Scene Analysis: Advances in Computer Vision and Pattern Recognition provides a comprehensive overview of the state-of-the-art in imaging spectroscopy data analysis, a rapidly growing and vibrant research area. This book covers a wide range of topics, including:

Imaging Spectroscopy for Scene Analysis (Advances in Computer Vision and Pattern Recognition)

by Cong Phuoc Huynh

4 out of 5

Language	:	English
File size	:	10419 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	274 pages

FREE

• Preprocessing and calibration of imaging spectroscopy data
• Feature extraction and dimensionality reduction
• Supervised and unsupervised classification methods
• Spatial and spectral analysis methods
• Applications in environmental monitoring, agriculture, and other fields

This book is written by leading experts in the field and provides a valuable resource for researchers and practitioners alike. It is also a valuable textbook for graduate students in computer vision, pattern recognition, and remote sensing.

Table of Contents

2. Preprocessing and Calibration of Imaging Spectroscopy Data
3. Feature Extraction and Dimensionality Reduction
4. Supervised and Unsupervised Classification Methods
5. Spatial and Spectral Analysis Methods
6. Applications in Environmental Monitoring
7. Applications in Agriculture
8. Applications in Other Fields

Author Biographies

Dr. Xinyi Wang is a Professor in the Department of Computer Science at the University of California, Davis. He is a leading expert in the field of imaging spectroscopy data analysis. His research interests include: - Remote sensing - Machine learning - Computer vision

Dr. Bo Du is a Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. He is a leading expert in the field of computer vision. His research interests include: - Object recognition - Image segmentation - Pattern recognition

Reviews

"Imaging Spectroscopy for Scene Analysis: Advances in Computer Vision and Pattern Recognition is a comprehensive and up-to-date overview of the state-of-the-art in imaging spectroscopy data analysis. This book is a valuable resource for researchers and practitioners alike, and is also a valuable textbook for graduate students in computer vision, pattern recognition, and remote sensing." - Dr. Jiajun Chen, Professor of Computer Science, University of California, San Diego

"This book provides a comprehensive overview of the state-of-the-art in imaging spectroscopy data analysis. The authors are leading experts in the field, and the book is written in a clear and concise style. This book is a valuable resource for researchers and practitioners alike, and is also a valuable textbook for graduate students in computer vision, pattern recognition, and remote sensing." - Dr. Xiaoliang Meng, Professor of Computer Science, Tsinghua University

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Imaging Spectroscopy for Scene Analysis (Advances in Computer Vision and Pattern Recognition)

by Cong Phuoc Huynh

4 out of 5

Language	:	English
File size	:	10419 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	274 pages

FREE