IEEE Geoscience and Remote Sensing Magazine - December 2017 - 67
computing. It is certainly of significant interest to summarize other survey articles from the application point of
view, where the usefulness of hyperspectral imagery can
be demonstrated through different practical aspects such
as mineralogy, environmental mapping and monitoring,
geology, and so on.
In addition to the material presented in this article,
hyperspectral data preprocessing plays a vital role in fostering application-oriented tasks. This important subject
lies beyond the scope of this investigation, which mainly
focuses on the development of algorithms for HSI analysis
and processing. To this end, we see the need for some tutorials and survey articles with a primary focus on hyperspectral data preprocessing and preparation designed for
atmospheric corrections, geometric and radiometric corrections, coregistration, and quality assessment.
As indicated several times throughout this article, although the area of HSI analysis is well established, there are
still many doors open for further investigation. We hope
that our work here will raise new possibilities for researchers to further investigate the remaining issues by developing fast, accurate, and automatic methodologies suitable for
applications at hand.
ACKNOWLEDGMENTS
We extend our sincere appreciation to Prof. Paolo Gamba
of the University of Pavia, Italy, and Prof. D. Landgrebe of
Purdue University, West Lafayette, Indiana, for providing
the Pavia University and Indian Pines data sets, respectively. In addition, the authors thank the National Center for
Airborne Laser Mapping at the University of Houston, Texas, for providing the CASI Houston data set and the IEEE
Geoscience and Remote Sensing Society Image Analysis
and Data Fusion Technical Committee for organizing the
2013 Data Fusion Contest.
AUTHOR INFORMATION
Pedram Ghamisi (p.ghamisi@gmail.com) is with the German Aerospace Center, Remote Sensing Technology Institute, and the Technische Universität München, Signal Processing in Earth Observation, Munich, Germany. He is a
Member of the IEEE.
Naoto Yokoya (yokoya@sal.rcast.u-tokyo.ac.jp) is
with the Department of Advanced Interdisciplinar y
Studies, the University of Tokyo, Japan. He is a Member
of the IEEE.
Jun Li (lijun48@mail.sysu.edu.cn) is with the Guangdong Provincial Key Laboratory of Urbanization and Geosimulation, Center of Integrated Geographic Information
Analysis, School of Geography and Planning, Sun Yat-sen
University, Guangzhou, China. He is a Senior Member of
the IEEE.
Wenzhi Liao (wenzhi.liao@ugent.be) is with the Department of Telecommunications and Information Processing, Ghent University, Belgium. He is a Senior Member of
the IEEE.
DECEMBER 2017
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
Sicong Liu (sicong.liu@tongji.edu.cn) is with the College of Surveying and Geoinformatics, Tongji University,
Shanghai, China. He is a Member of the IEEE.
Javier Plaza is with the Department of Technology of
Computers and Communications, University of Extremadura, Spain. He is a Senior Member of the IEEE.
Behnood Rasti (behnood@hi.is) is with the Keilir Institute of Technology, Reykjanesbaer, Iceland, and the Department of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland. He is a Member of
the IEEE.
Antonio Plaza is with the Department of Technology of
Computers and Communications, University of Extremadura, Spain. He is a Fellow of the IEEE.
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