Survey of ERIM Approaches Applicable to Semi-Automatic Target Detection and Cueing for Multispectral and Multisensor Exploitation
Abstract
Tactical and strategic decisions must increasingly be made based on the aggregation and integration of information from various sources. Multiple sensors can be employed to provide a range of parameters which can aid in identifying enemy targets. The synergistic combination of data from these various sensors, as well as from other sources, can enhance a photointerpreter's ability to locate and identify targets. A semi-automatic multispectral multisensor system for target detection would be invaluable for this purpose. The Semi-Automated Multispectral/Multisensor Exploitation (SAMME) Project is an effort to develop computer assisted algorithms and display methods to aid interpreters in identifying targets in multispectral multisensor data. This report outlines approaches attempted at ERIM which are relevant to the SAMME project. A series of over 200 ERIM documents were reviewed. Included in the review were internal memos, technical reports, white papers, proposals and journal articles published by ERIM employees which describe results of work done at ERIM. The report includes information of benefits and drawbacks of various approaches under different circumstances, when this information is available. However, this report is not a recommendation for a particular system, only a compendium of knowledge applicable to the task. (RRH)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 25, 1989
- Accession Number
- ADA214241
Entities
People
- Lynnette Wood
Organizations
- Environmental Research Institute of Michigan