Open Access Paper
7 March 2024 Front Matter: Volume 13086
Proceedings Volume 13086, MIPPR 2023: Pattern Recognition and Computer Vision; 1308601 (2024) https://doi.org/10.1117/12.3029663
Event: Twelfth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2023), 2023, Wuhan, China
Abstract
This PDF file contains the front matter associated with SPIE Proceedings Volume 13086, including the Title Page, Copyright information, Table of Contents, and Conference Committee information.

The papers in this volume were part of the technical conference cited on the cover and title page. Papers were selected and subject to review by the editors and conference program committee. Some conference presentations may not be available for publication. Additional papers and presentation recordings may be available online in the SPIE Digital Library at SPIEDigitalLibrary.org.

The papers reflect the work and thoughts of the authors and are published herein as submitted. The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon.

Please use the following format to cite material from these proceedings:

Author(s), “Title of Paper,” in MIPPR 2023: Pattern Recognition and Computer Vision, edited by Jianguo Liu, Zhong Chen, Changxin Gao, Yang Xiao, Sheng Zhong, Hanyu Hong, Xiaofeng Yue, Proc. of SPIE 13086, Seven-digit Article CID Number (DD/MM/YYYY); (DOI URL).

ISSN: 0277-786X

ISSN: 1996-756X (electronic)

ISBN: 9781510674950

ISBN: 9781510674967 (electronic)

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Symposium Committee

Symposium Chairs

  • Deren Li, Wuhan University (China)

  • Bir Bhanu, The University of California, Riverside (United States)

Program Committee Chairs

  • Jay K. Udupa, University of Pennsylvania (United States)

  • Tianxu Zhang, Huazhong University of Science and Technology (China)

Program Committee

  • Christian Bauckhage, IAIS Fraunhofer (Germany)

  • Bir Bhanu, The University of California, Riverside (United States)

  • Zhiguo Cao, Huazhong University of Science and Technology (China)

  • Chunqi Chang, Shenzhen University (China)

  • C. H. Chen, University of Massachusetts, Dartmouth (United States)

  • Shaobo Chen, South-Central University for Nationalities (China)

  • Xinjian Chen, Soochow University (China)

  • Melba M. Crawford, Purdue University (United States)

  • Armin B. Cremers, Universität Bonn (Germany)

  • He Deng, Wuhan University of Science and Technology (China)

  • Mingyue Ding, Huazhong University of Science and Technology (China)

  • Aaron Fenster, The University of Western Ontario (Canada)

  • Wei Guo, Hebei Normal University (China)

  • Bruce Hirsch, Drexel University (United States)

  • Hanyu Hong, Wuhan Institute of Technology (China)

  • Xia Hua, Wuhan Institute of Technology (China)

  • Horace H. S. Ip, City University of Hong Kong (China)

  • Jun Jo, Griffith University (Australia)

  • Irwin King, Chinese University of Hong Kong (China)

  • Vladimir G. Krasilenko, Vinnitsa Social Economy Institute (Ukraine)

  • Xuelong Li, University of London (United Kingdom)

  • Qiang Li, University of Chicago (United States)

  • Senhu Li, Xoran Technologies LLC (United States)

  • Stan Z. Li, Chinese Academy of Sciences (China)

  • Xingde Li, Johns Hopkins University (United States)

  • Zicheng Li, Wuhan Institute of Technology (China)

  • Guoying Liu, Anyang Normal University (China)

  • Jianguo Liu, Huazhong University of Science and Technology (China)

  • Xia Liu, Jianghan University (China)

  • Zhenbing Liu, Guilin University of Electronic Technology (China)

  • Hanqing Lu, Institute of Automation, Chinese Academy of Science (China)

  • Henri Maître, École Nationale Supérieure des Télécommunications (France)

  • Jiangqun Ni, Sun Yat-Sen University (China)

  • Laszlo Nyul, University of Szeged (Hungary)

  • Chao Pan, Hubei University of Economics (China)

  • Shaohua Qu, Hubei University of Arts and Science (China)

  • Jonathan Roberts, Autonomous Systems Laboratory CSIRO ICT Centre (Australia)

  • Punam K. Saha, University of Iowa (United States)

  • Nong Sang, Huazhong University of Science and Technology (China)

  • Xubang Shen, Chinese Academy of Sciences (China)

  • Yu Shi, Wuhan Institute of Technology (China)

  • M.V. Srinivasan, University of Queensland (Australia)

  • Hong Sun, Wuhan University (China)

  • Katarina Svanberg, Lund University (Sweden)

  • Jianjun Tan, Hubei University for Nationalities (China)

  • Yihua Tan, Huazhong University of Science and Technology (China)

  • Dacheng Tao, Nanyang Technological University (Singapore)

  • Jay K. Udupa, University of Pennsylvania (United States)

  • Jinxue Wang, SPIE (United States)

  • Zhonghua Wang, Nanchang University of Aeronautics (China)

  • Baoming Wu, Third Military Medical University (China)

  • Hongan Wu, Chinese Academy of Surveying and Mapping (China)

  • Weichao Xu, Guangdong University of Technology (China)

  • Pingkun Yan, Philips Research North America (United States)

  • Hua Yang, Wuhan Polytechnic University (China)

  • Yuan Yuan, Aston University (United Kingdom)

  • Liangpei Zhang, Wuhan University (China)

  • Jun Zhang, Waseda University (Japan)

  • Tianxu Zhang, Huazhong University of Science and Technology (China)

  • Sheng Zheng, China Three Gorges University (China)

  • Sheng Zhong, Huazhong University of Science and Technology (China)

  • Yanfei Zhong, Wuhan University (China)

  • Jie Zhou, Tsinghua University (China)

Organizing Committee Chair

  • Jianguo Liu, Huazhong University of Science and Technology (China)

Associated Chairs of Organizing Committee

  • Hanyu Hong, Wuhan Institute of Technology (China)

  • Zhong Chen, Huazhong University of Science and Technology (China)

  • Yang Xiao, Huazhong University of Science and Technology (China)

  • Changxin Gao, Huazhong University of Science and Technology (China)

Organizing Committee

  • Hongyan Wang, Huazhong University of Science and Technology (China)

  • Xiangyu Lai, Huazhong University of Science and Technology (China)

  • Jie Chen, Huazhong University of Science and Technology (China)

General Secretary

  • Xiaofeng Yue, Huazhong University of Science and Technology (China)

Introduction

Welcome to SPIE 12th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR) in the city of Wuhan, China, 10-12 November 2023.

SPIE MIPPR is a flagship biennial symposium of SPIE. The symposium of 2023 took place after four years due to the Covid-19 pandemic for several years. The 11th symposium took place in November 2019. The symposium focuses mainly on the latest research in multispectral image processing and pattern recognition. The symposium has a broad charter. Multi-spectral is interpreted not just as multiple-wavelength in a narrow sense but also as multi-sensor, multi-modal, and multimedia. It covers many disciplines such as sensing, image processing, computer vision, and pattern recognition and involves the development of efficient processing algorithms and their optimization and implementation. The wide range of applications considered in this symposium include automatic target recognition, autonomous navigation, medical image processing, remote sensing, geographic information systems, and many others.

The symposium provides a forum for scientists, professors, engineers, and graduate students from universities, industries, and government laboratories to meet and exchange ideas and discuss theories, techniques, algorithms, and applications in multispectral image processing and pattern recognition. We expect that there will be ample discussions both inside and outside the lecture halls, and this will be an exciting meeting.

In response to the Call for Papers, we received 118 submissions. Based on the reviews provided by an excellent program committee, we accepted 86 papers covering many aspects of multispectral image processing and pattern recognition. To ensure a high-quality conference, all abstracts and proceedings of SPIE papers are reviewed by the peers for technical merit and English expression. The proceedings of MIPPR 2023 Symposium consist of five volumes which will be included in the SPIE Digital Library.

  • Multispectral Image Acquisition, Processing, and Analysis (SPIE Volume 13084)

  • Automatic Target Recognition and Navigation (SPIE Volume 13085)

  • Pattern Recognition and Computer Vision (SPIE Volume 13086)

  • Parallel Processing of Images and Optimization Techniques; and Medical Imaging (SPIE Volume 13087)

  • Remote Sensing Image Processing, Geographic Information Systems, and Other Applications (SPIE Volume 13088)

The realization of a conference depends upon the hard work of many dedicated people. We would like to thank all the members of the organizing committee for putting together this symposium for the benefit of all the researchers. They are responsible for making this conference a success. We hope the papers and the research results presented at this conference will inspire new research in all the areas related to multispectral image processing and pattern recognition.

Bir Bhanu

November 10, 2023

© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
"Front Matter: Volume 13086", Proc. SPIE 13086, MIPPR 2023: Pattern Recognition and Computer Vision, 1308601 (7 March 2024); https://doi.org/10.1117/12.3029663
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KEYWORDS
Image processing

Pattern recognition

Lithium

Multispectral imaging

Computer vision technology

Detection and tracking algorithms

Algorithms

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