Advanced Image Processing for Defense and Security Applications

Call for Papers

The history of digital image processing can be traced back to the 1920s when digital images were transferred between London and New York. However, in the past, the cost of processing was very high because the imaging sensors and computational equipments were very expensive and had only limited functions. As a result, the development of digital image processing was limited.

As optics, imaging sensors, and computational technology advanced, image processing has become more commonly used in many different areas. Some areas of application of digital image processing include image enhancement for better human perception, image compression and transmission, as well as image representation for automatic machine perception.

Most notably, digital image processing has been widely deployed for defense and security applications such as small target detection and tracking, missile guidance, vehicle navigation, wide area surveillance, and automatic/aided target recognition. One goal for an image processing approach in defense and security applications is to reduce the workload of human analysts in order to cope with the ever increasing volume of image data that is being collected. A second, more challenging goal for image processing researchers is to develop algorithms and approaches that will significantly aid the development of fully autonomous systems capable of decisions and actions based on all sensor inputs.

The aim of this special issue is to bring together researchers designing or developing advanced image processing techniques/systems, with a particular emphasis on defense and security applications. Prospective papers should be unpublished and present innovative research work offering contributions either from a methodological or application point of view. Topics of interest include, but are not limited to:

• Multispectral/hyperspectral image processing for object tracking and classification with emphasis on defense-related targets and objects
• Real-time image processing for surveillance, reconnaissance, and homeland security
• Biometric image processing for personal authentication and identification with emphasis on homeland security applications
• Image encryption for secure image storage and transmission
• Image processing to enable autonomous and intelligent control for military, intelligence, and homeland security applications
• Image processing for mental workload evaluation with emphasis on homeland security applications
• Image interpolation and registration for object visualization, tracking, and/or classification

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/asp/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable:

Lead Guest Editor

• Yingzi (Eliza) Du, Department of Electrical and Computer Engineering, Indiana University-Purdue University Indianapolis, 723 W. Michigan Street, SL 160, Indainapolis, IN 46259, USA

Guest Editors

• Robert Ives, Department of Electrical Engineering, US Naval Academy, 105 Maryland Avenue, MS 14B, Annapolis, MD 21402, USA
• Alan van Nevel, Image and Signal Processing Branch Research Department, Naval Air Warfare Center, 1900 N Knox Road, M/S 6302 China Lake, CA 93555 USA
• Jin-Hua She, School of Computer Science, Tokyo University of Technology, 1404-1 Katakura, Hachioji, Tokyo 192-0982, Japan