14 September 2015 Front Matter: Volume 9596
Abstract
This PDF file contains the front matter associated with SPIE Proceedings Volume 9596 including the Title Page, Copyright information, Table of Contents, Introduction, and Conference Committee listing.

The papers included 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. The papers published in these proceedings 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 this book:

Author(s), “Title of Paper,” in Signal and Data Processing of Small Targets 2015, edited by Oliver E. Drummond, Proceedings of SPIE Vol. 9596 (SPIE, Bellingham, WA, 2015) Article CID Number.

ISSN: 0277-786X

ISSN:1996-756X (electronic)

ISBN: 9781628417623

Published by

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Printed in the United States of America.

Publication of record for individual papers is online in the SPIE Digital Library.

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Paper Numbering: Proceedings of SPIE follow an e-First publication model, with papers published first online and then in print. Papers are published as they are submitted and meet publication criteria. A unique citation identifier (CID) number is assigned to each article at the time of the first publication. Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online, print, and electronic versions of the publication. SPIE uses a six-digit CID article numbering system in which:

  • The first four digits correspond to the SPIE volume number.

  • 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. The complete citation is used on the first page, and an abbreviated version on subsequent pages.

Authors

Numbers in the index correspond to the last two digits of the six-digit citation identifier (CID) article numbering system used in Proceedings of SPIE. The first four 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.

Bogdanovic, Miro, 09

Boyd, John E., xi

Breu, Jakob, 09

Charalampidis, Dimitrios, 0B

Chen, Penghui, 0C

Chen, Qi, 09

Chen, Qian, 0K

Dong, Liquan, 07

Gu, Guohua, 0I, 0J, 0K

Hallenborg, Eric, xxi

He, Xiaoyu, 0C

Hu, Jing, 04

Hui, Mei, 07

Hwee, Peh Chin, xxi

Jaszewski, Martin, xxi

Jiang, Yuesong, 0C

Jilkov, Vesselin P., 0B

Kong, Xiaofang, 0K

Liu, Fan, 04

Liu, Ming, 07

Liu, Xiaohua, 07

Liu, Yun, 07

Lu, Mingfeng, 0A

Roth, Tobias, 09

Sworder, David D., xi

Wang, Jianing, 06

Wang, Jing, 0I

Wang, Wenjuan, 0J

Weiss, Christian A., 09

Wu, Jiande, 0B

Wu, Yijian, 07

Xu, Fuyuan, 0I

Xu, Xiaojian, 06, 0C

Yang, Wei, 0J

Yu, Yi, 04

Yuan, Ting, 09

Zhang, Feng, 0A

Zhang, Yanshan, 0A

Zhao, Yuejin, 07

Conference Committee

Program Track Chair

  • Khan M. Iftekharuddin, Old Dominion University (United States)

Conference Chair

  • Oliver E. Drummond, Consulting Engineer (United States)

Conference Co-chair

  • Richard D. Teichgraeber, Consulting Engineer (United States)

Conference Program Committee

  • Liyi Dai, U.S. Army Research Office (United States)

  • Darren K. Emge, U.S. Army Edgewood Chemical Biological Center (United States)

  • Denise E. Jones, U.S. Army Space and Missile Defense Command (United States)

  • Karla K. Spriestersbach, Missile Defense Agency (United States)

  • Steven W. Waugh, Defense Threat Reduction Agency (United States)

Session Chairs

  • Signal, Image, and Data Processing Plenary Session

    Khan M. Iftekharuddin, Old Dominion University (United States)

  • 1 Signal Processing

    Oliver E. Drummond, Consulting Engineer (United States)

    Larry B. Stotts, Stotts Consulting, LLC (United States)

  • 2 Tracking: Association and Filtering

    Oliver E. Drummond, Consulting Engineer (United States)

    Eric Hallenborg, Space and Naval Warfare Systems Center Pacific (United States)

  • 3 Signal and Data Processing Issues

    Oliver E. Drummond, Consulting Engineer (United States)

    Eric Hallenborg, Space and Naval Warfare Systems Center Pacific (United States)

  • 4 Workshop: Signal and Track Processing

    Oliver E. Drummond, Consulting Engineer (United States)

    Eric Hallenborg, Space and Naval Warfare Systems Center Pacific (United States)

Workshop Topic: Signal and Data Processing

Presentation Titles:

Action windows with resource limits and Implementation and evaluation of a detector of clutter embedded resolved targets in optical and infrared maritime video

This Series of Conferences Has Added A Daytime Workshop.

The conference proceedings and the SPIE Digital Library will use a copy of each author’s PowerPoint file instead of a manuscript.

Workshop I: Action Windows with Resource Limits

David D. Sworder1 and John E. Boyd2

1University of California, San Diego

2Cubic Global Defense Applications, Inc.

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Workshop II: Implementation and evaluation of a detector of resolved targets in cluttered optical/infrared maritime video

Martin Jaszewski*, Eric Hallenborg*, and Peh Chin Hwee**

*Space and Naval Warfare Systems Center Pacific, San Diego, USA

**ST Dynamics Pte Ltd., Singapore, Republic of Singapore

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Test statistic images have been normalized for viewing purposes. The pixel intensity values represent the relative confidence that the pixel contains anomalies (targets). Darker values represent relatively higher confidence that an anomaly is present.

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Test statistic images have been normalized for viewing purposes. The pixel intensity values represent the relative confidence that the pixel contains anomalies (targets). Darker values represent relatively higher confidence that an anomaly is present.

00001_psisdg9596_959601_page_28_2.jpg

Test statistic images have been normalized for viewing purposes. The pixel intensity values represent the relative confidence that the pixel contains anomalies (targets). Darker values represent relatively higher confidence that an anomaly is present.

00001_psisdg9596_959601_page_29_1.jpg

Test statistic images have been normalized for viewing purposes. The pixel intensity values represent the relative confidence that the pixel contains anomalies (targets). Darker values represent relatively higher confidence that an anomaly is present.

00001_psisdg9596_959601_page_29_2.jpg

Test statistic images have been normalized for viewing purposes. The pixel intensity values represent the relative confidence that the pixel contains anomalies (targets). Darker values represent relatively higher confidence that an anomaly is present.

00001_psisdg9596_959601_page_30_1.jpg

Test statistic images have been normalized for viewing purposes. The pixel intensity values represent the relative confidence that the pixel contains anomalies (targets). Darker values represent relatively higher confidence that an anomaly is present.

00001_psisdg9596_959601_page_30_2.jpg

Test statistic images have been normalized for viewing purposes. The pixel intensity values represent the relative confidence that the pixel contains anomalies (targets). Darker values represent relatively higher confidence that an anomaly is present.

00001_psisdg9596_959601_page_31_1.jpg

Test statistic images have been normalized for viewing purposes. The pixel intensity values represent the relative confidence that the pixel contains anomalies (targets). Darker values represent relatively higher confidence that an anomaly is present.

00001_psisdg9596_959601_page_31_2.jpg

Test statistic images have been normalized for viewing purposes. The pixel intensity values represent the relative confidence that the pixel contains anomalies (targets). Darker values represent relatively higher confidence that an anomaly is present.

00001_psisdg9596_959601_page_32_1.jpg

Test statistic images have been normalized for viewing purposes. The pixel intensity values represent the relative confidence that the pixel contains anomalies (targets). Darker values represent relatively higher confidence that an anomaly is present.

00001_psisdg9596_959601_page_32_2.jpg
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
"Front Matter: Volume 9596", Proc. SPIE 9596, Signal and Data Processing of Small Targets 2015, 959601 (14 September 2015); doi: 10.1117/12.2218385; https://doi.org/10.1117/12.2218385
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