1st Edition
Imaging Radar Polarimetric Rotation Domain Interpretation Theory and Applications
Polarimetric rotation domain interpretation is an innovation in radar image processing and understanding. Orientation rotation is a basic operator well known in the classic polarimetry theory, and significant advancement has been made in recent years. This book presents new and advanced concepts, theories, and methodologies in radar polarimetry and bridges the gaps between target scattering diversity, polarimetric radar data, and their practical applications. It provides a comprehensive summarization and investigation of polarimetric roll-invariant features and demonstrates novel applications of polarimetric radar target detection, classification, target structure recognition, and urban damage mapping.
FEATURES
- Focuses on basic concepts, key techniques, and various applications of the polarimetric rotation domain interpretation paradigm for the first time in book form
- Provides a comprehensive investigation of polarimetric roll-invariant features
- Includes novel application developments for imaging radar target detection, structure recognition, and damage mapping
- Explains, represents, and utilizes the radar target scattering diversity effect
- Identifies new methods for target polarimetric scattering mechanism understanding
This book is written for researchers and professionals in radar polarimetry, radar imaging, microwave remote sensing, environmental studies, and other related fields. Senior undergraduate and postgraduate students, as well as teachers in the same fields, will benefit from the advancements highlighted in this book.
1. Introduction
2. Polarimetric Rotation Domain Interpretation Theory
3. Polarimetric Rotation Domain Roll-Invariant Features
4. Polarimetric Rotation Domain Land Cover Classification
5. Polarimetric Rotation Domain Target Detection
6. Polarimetric Rotation Domain Structure Recognition
7. Polarimetric Rotation Domain Urban Damage Mapping
Biography
Si-Wei Chen earned a PhD (Hons.) in environmental studies at Tohoku University, Sendai, Japan, in 2012. He is a professor with the National University of Defense Technology. He has published more than 120 journal and conference articles and coauthored three monographs and holds 22 patents. His research interests include radar polarimetry, polarimetric radar imaging, environmental study, and machine learning.
Dr. Chen was a recipient of the Excellent Young Scholar from the National Natural Science Foundation of China in 2021, the IEEE Geoscience and Remote Sensing Society (GRSS) Early Career Award in 2019, the Natural Science Foundation of Hunan Province for Distinguished Young Scholars in 2020, the Best Poster Award from the IET International Radar Conference in 2013, and the Excellent Paper Award from the IET International Radar Conference in 2015. He won the Second Prize of the National Prize for Progress in Science and Technology in 2021 and the First Prize of the Natural Science Award from Hunan Province of China in 2019. He is an associate editor of IEEE Geoscience and Remote Sensing Letters and an editorial board member of Journal of Remote Sensing, Journal of Electronics and Information Technology, Journal of Radars, and Journal of Signal Processing.
