Extensions to Real-time Hierarchical Mine Detection Algorithm
Abstract
The Threat Detection Group (TOG) at Defense R&D Canada-Suffield has undertaken a research program on the feasibility of remote sensing of minefields. One of the projects is the Remote Minefield Detection (RMD) hierarchical algorithm originally developed for single band active airborne infrared imagery (AAII) and later adapted for vehicle mounted passive infrared imagery (FLIR) The objectives of this contract are: (i) to Implement the RMD hierarchical algorithm on a down-scaled version of transputer architecture for real-time mine detection on FLIR Imagery, (ii) to develop the high and top levels of the algorithm Including expert system and knowledge base, and (iii) to research the possibility to upgrade the current hardware platform to modern advanced computational elements Phase 1 and 2 of the contract focused on the implementation of Low and Middle levels of a real-time RMD system on a transputer network to detect mines in real FLIR images. The work first described the hardware requirement for each module of the algorithm, then outlined the software development, and finally presented some preliminary test results. Although transputers were attractive computing elements 15 years ago when this project started, they have become obsolete quickly today Thus a decision has been made by the Project Authority to implement the RMD hierarchical algorithm on the new hardware platform, namely a network of Intel Pentium-class processors, which was recommended by a study from the University of British Columbia. Phase 3 of the contract Involved building that PC network, and developing and testing the new software version.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2002
- Accession Number
- ADA596418
Entities
People
- Mabo R. Ito
- Sinh Duong