Image analysis for airborne reconnaissance and missile applications

✍ Scribed by Joakim Waldemark; Mikael Millberg; Thomas Lindblad; Karina Waldemark

• Publisher: Elsevier Science
• Year: 2000
• Tongue: English
• Weight: 677 KB
• Volume: 21
• Category: Article
• ISSN: 0167-8655
• DOI: 10.1016/s0167-8655(99)00153-1

✦ Synopsis

This paper describes how the pulse coupled neural network (PCNN) can be used in various image analysis applications. We especially focus on two time-critical applications, in particular, airborne reconnaissance and missile navigation. Today, biologically inspired sensor analysis systems such as the PCNN can be used in many dierent applications related to these two major applications. New ideas are shown on how to use PCNN in combination with other image processing transforms, e.g. the Radon transform and foveation point detection to solve image interpretation and missile navigation problems. This includes solving tasks such as image segmentation, object detection and target identi®cation. Finally, a VHDL implementation of the PCNN targeting FPGA is presented.