Adaptive Segmentation Evaluation.
Final rept. 1 Jan-31 Aug 87,
MARTIN MARIETTA AEROSPACE ORLANDO FL
Pagination or Media Count:
Phase 2 of this contract addressed the issue of improving the segmenter performance on military vehicles in infrared imagery through the use of temporal processing techniques. Specific objectives were 1 Develop temporal-based techniques to augment current segmentation algorithms 2 Develop a set of metrics to quantitatively represent segmenter performance in terms of quality and consistency of segmentation and 3 Perform a comparative study of performance results between the modified segmentation approach and the unaided approach. The approach concentrated on developing techniques for image data stabilization through the use of multiframe data integration. The most important aspect of multiframe data integration is its ability to increase frame to frame data stability and reduce noise. These properties have two important consequences 1 the improved signal quality greatly reduces the need for special purpose processing by each ATR component to overcome the image ambiguities found in the raw data 2 features that represent higher levels of structural detail usually masked by noise can be computed for improved object discrimination and classification performance.
- Logistics, Military Facilities and Supplies
- Surface Transportation and Equipment