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8 March 2018 Front Matter: Volume 10609
Proceedings Volume 10609, MIPPR 2017: Pattern Recognition and Computer Vision; 1060901 (2018)
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China
This PDF file contains the front matter associated with SPIE Proceedings Volume 10609, including the Title Page, Copyright information, Table of Contents, and Conference Committee listing.

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

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 2017: Pattern Recognition and Computer Vision, edited by Zhiguo Cao, Yuehuang Wang, Chao Cai, Proceedings of SPIE Vol. 10609 (SPIE, Bellingham, WA, 2017) Seven-digit Article CID Number.

ISSN: 0277-786X

ISSN: 1996-756X (electronic)

ISBN: 9781510617216

ISBN: 9781510617223 (electronic)

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  • The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters. These two-number sets start with 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0A, 0B … 0Z, followed by 10-1Z, 20-2Z, etc. The CID Number appears on each page of the manuscript.


Numbers in the index correspond to the last two digits of the seven-digit citation identifier (CID) article numbering system used in Proceedings of SPIE. The first five digits reflect the volume number. Base 36 numbering is employed for the last two digits and indicates the order of articles within the volume. Numbers start with 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0A, 0B…0Z, followed by 10-1Z, 20-2Z, etc.

Ai, Shihui, 15

Bai, Honglin, 0J

Cao, Zhiguo, 0P, 16, 1K

Chen, Fubing, 0T

Chen, Jie, 0W

Chen, Jun, 16

Chen, Kezhou, 0G

Chen, Lijuan, 19

Chen, Pei, 08

Chen, Xi, 1K

Chen, Yang, 0U

Chen, Youbin, 1G

Chen, Zhong, 02, 0X, 18, 1B

Cheng, Zhao, 1I

Cong, Longjian, 1P

Deng, Chunhua, 1E

Dong, Zhuoli, 05

Du, Chengcai, 0Q

Fan, Zhihua, 0L

Fang, Bin, 0D, 13

Fang, Xin, 0W

Fang, Zhiwen, 16, 1K

Fei, Xuan, 05

Fu, Jiarun, 03

Fu, Wenxing, 0D

Gao, Changxin, 0G, 0K, 0L, 0U, 1G, 1J

Gao, Lei, 1P

Ge, Chao, 1M

Ge, Wenying, 09, 1C

Gui, Li, 1M

Guo, Bingxuan, 0R

Guo, Pei, 1I

Guo, Shengwei, 0O

Han, Cheng, 0A

He, Jie, 0T

He, Jing, 0X

Hu, Fangyu, 0D, 13

Hu, Hanping, 0A

Hu, Kai, 0J

Hu, Ruiguang, 0S

Hu, Sheng, 0H

Hu, Xueying, 0H

Huang, Xia, 1M

Jian, Wenlin, 19

Jiang, Yongyuan, 1N

Jiang, Zhengang, 0A

Jin, Liujia, 0M

Krasilenko, Vladimir G., 1D

Lazarev, Alexander A., 1D

Li, Cuina, 14

Li, Hua, 0A

Li, Jinlin, 0I

Li, Lei, 05

Li, Lerenhan, 0L

Li, Li, 0E

Li, Peng, 0M

Li, Zhiqiang, 0G

Lin, Zheng, 1L

Liu, Boqi, 0O

Liu, Guodong, 1H

Liu, Guoying, 09, 1C

Liu, Qiang, 0Y

Liu, Wei, 1A

Liu, Xiaomao, 0B, 0C, 0F

Liu, Yanxin, 0S

Lu, Kaixia, 10

Lu, Luping, 04

Lu, Tongwei, 07, 15, 1N

Luo, Ming, 0M

Ma, Hao, 1M

Ma, Jie, 0D, 13

Ma, Tao, 0D, 13

Min, Feng, 0Z

Mou, Xingang, 11

Ni, Zihan, 0V

Nikitovich, Diana V., 1D

Ou, Jianping, 0T

Ou, Kejun, 11

Ouyang, Chao, 02, 18, 1B

Pan, Mingbo, 1A

Peng, Li, 06

Qi, Shengxiang, 0Y, 12

Qi, Xin, 1I

Qi, Xinyuan, 0P

Qian, Shengyou, 0K

Qin, Tao, 0N

Quan, Siwen, 0D, 13

Quan, Wei, 0A

Sang, Nong, 0G, 0L, 0V, 1G, 1J

Shen, Wei, 08

Shi, Guangyu, 14

Song, Enmin, 1L

Song, Xu, 09

Su, Xiaojing, 0S

Sun, Bin, 0J

Sun, Kun, 17

Sun, Peng, 1P

Tan, Cheng, 0V

Tan, Zhiguo, 0T

Tang, Jiajun, 0H

Tang, Qingyun, 0C

Tang, Qiuxia, 1M

Tao, Wenbing, 17

Tao, Yiwei, 1F

Tian, Jinwen, 0B, 0C, 0F

Tian, Shaoxiong, 0U

Wang, Dandan, 07

Wang, Jian, 0P

Wang, Jieran, 0B

Wang, Jinyan, 12

Wang, Minjun, 0I

Wang, Runmin, 0K

Wang, Ruolin, 0G

Wang, Xue, 0Y

Wang, Yongzhong, 1G

Wang, Yuehuang, 0W

Wang, Zhihui, 0I

Wei, Kai, 17

Wu, Kaizhi, 19

Wu, Xuetong, 1A

Xiao, Jie, 10

Xiao, Yang, 0P, 16, 1K

Xie, Zhihua, 1H

Xiong, Bincheng, 0F

Xiong, Jinquan, 1H

Xiong, Yudian, 15, 1N

Xu, Guojing, 12

Xu, Hui, 03

Xu, Wei, 0O

Xue, Yaohong, 0A

Yan, Hao, 0L

Yan, Lingyu, 03

Yang, Jianfeng, 0K

Yang, Liqin, 1J

Yang, Qi, 0J

Yang, Weidong, 0M

Ye, Xianyi, 0Z

Yu, XiPeng, 0X

Yu, Zhenghong, 14

Yu, Zirong, 19

Yuan, Lu, 03

Zhang, Chao, 0A

Zhang, Chunsen, 0R

Zhang, Daimeng, 0B, 0C, 0F

Zhang, Dexian, 05

Zhang, Feng, 02, 1B

Zhang, Hanmo, 0U

Zhang, Hongxin, 03

Zhang, Hui, 1P

Zhang, Jun, 0B, 0C, 0F

Zhang, Junwen, 1E

Zhang, Mingwen, 1G

Zhang, Shuai, 1H

Zhang, Shuo, 0X

Zhang, Ting, 0X, 18

Zhang, Xiuhua, 0O

Zhang, Yanduo, 07

Zhang, Yifei, 02, 1B

Zhang, Yong, 04

Zhao, Hongdan, 09

Zhao, Jianxin, 11

Zhao, Like, 1M

Zheng, Guangdi, 1A

Zheng, Hanqing, 0L

Zheng, Shunyi, 1M

Zhong, Sheng, 0N, 0Q

Zhou, Hongjun, 08

Zhou, Huabing, 06, 1F

Zhou, Qing, 0Y

Zhou, Xiao, 11

Zhou, Zhiwei, 13

Zhu, Guojia, 1F

Zhu, Rong, 0H

Zhu, Shengguo, 06

Zong, Xiaoyu, 0R

Zou, Lamei, 0M

Symposium Committee

Symposium Chairs

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

  • Deren Li, Wuhan University (China)

Program Committee Chairs

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

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

Program Committee

  • Christian Bauckhage, IAIS Fraunhofer (Germany)

  • Bir Bhanu, 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 (United States)

  • Xinjian Chen, Soochow University (China)

  • Jinkui Chu, Dalian University of Technology (China)

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

  • Armin B.Cremers, Universität Bonn (Germany)

  • 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)

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

  • Jun Jo, Griffith University (Australia)

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

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

  • Deren Li, Wuhan University (China)

  • 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)

  • Guoying Liu, Anyang Normal University (China)

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

  • Xia Liu, Jianghan University (China)

  • Hanqing Lu, Institute of Automation (China)

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

  • Jiangqun Ni, SunYat-sen University (China)

  • Laszlo Nyul, University of Szeged (Hungary)

  • 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)

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

  • Hong Sun, Wuhan University (China)

  • Katarina Svanberg, Lund University (Sweden)

  • Jianjun Tan, Hubei University for Nationalities (China)

  • Dacheng Tao, Nanyang Technological University (Singapore)

  • Hengqing Tong, Wuhan University of Technology (China)

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

  • Jinxue Wang, SPIE (United States)

  • Baoming Wu, Third Military Medical University (China)

  • Kai Xie, Beijing Institute of Graphic Communication (China)

  • Weichao Xu, Guangdong University of Technology (China)

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

  • 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)

  • Yanfei Zhong, Wuhan University (China)

  • Jie Zhou, Tsinghua University (China)

Organizing Committee Chairs

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

Co-organizing Committee Chairs

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

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

General Secretary

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

Associated General Secretary

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


  • Zhihua Ban, Huazhong University of Science and Technology (China)

  • Yuanchun Xia, Huazhong University of Science and Technology (China)

  • Jun Xiong, Huazhong University of Science and Technology (China)

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

  • Min Du, Huazhong University of Science and Technology (China)

  • Shanjun Li, Huazhong University of Science and Technology (China)


Welcome to the proceedings from the 10th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR 2017), held 28-29 October 2017 in Xiangyang, China.

MIPPR focuses mainly on latest research in multispectral image processing and pattern recognition. The symposium has a broad charter. Multispectral is interpreted not just multiple-wavelength in a narrow sense but also multi-sensor, multi-modal, and multimedia. It covers many disciplines such as sensing, image processing, computer vision, 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. As expected, there were ample discussions both inside and outside the lecture halls helping to make MIPPR 2017 an exciting meeting.

In response to the call for papers, we received 231 submissions. Based on the reviews provided by an excellent program committee we accepted 193 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 peers for technical merit and English expression. The conference proceedings from MIPPR 2017 consist of five volumes which will be included on the SPIE Digital Library:

  • MIPPR 2017: Multispectral Image Acquisition, Processing, and Analysis (SPIE Volume 10607)

  • MIPPR 2017: Automatic Target Recognition and Navigation (SPIE Volume 10608)

  • MIPPR 2017: Pattern Recognition and Computer Vision (SPIE Volume 10609)

  • MIPPR 2017: Parallel Processing of Images and Optimization Techniques; and Medical Imaging (SPIE Volume 10610)

  • MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications (SPIE Volume 10611).

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 who put 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

© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
"Front Matter: Volume 10609", Proc. SPIE 10609, MIPPR 2017: Pattern Recognition and Computer Vision, 1060901 (8 March 2018);

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