While the power of artificial intelligence has been established, it is essentially untapped regarding image exploitation. our project is intended to address this pressing problem; its significance can be evidenced from two criteria: (1) innoativeness: our methods de part significantly upon the… More

Current dsmac system uses spatial-binary pattern to perform scene matching. success demands certain reliable terrain characteristics be present and extractable. ergo, the present of certain other terrain characteristics might preclude success, such as linear features like roads and streams. this is… More

For this sbir effort, we will fuse non-image and image-based data for extracting mobile-missile targets from the background clutter. the proven mobile target analysis technology developed by planning research corporation using non-image based data will be used as an initial approach to narrow down… More

To detect and identify airplans and ground tacticl targets with image data, tow complementary anayses are required (1) contour extraction, and (2) shape/target recognition. until very recently, research emphasis has been placed on shpe recognition based on segmentations from odels and/or simple… More

This sbir proposal, "intelligent algorithms for smart munition seekers," has two major objectives: (1) to determine the hit-rate and false-alarm rate of the sr&e segmentor and target extractor using a comprehensive data base; and (2) to evaluate and determine the technological requirements for… More

Susquehanna resources and environment, inc. (sr&e) will develop a prototype intelligent gunner decision aid system for laboratory demonstration and validation with antonomous target detection, identification, and tracking; and intelligent displays for making correct and timely fire control… More

Advanced tracking with attitude information is proposed by andrisani and khul (1985) for airplanes. orientation extraction in real time can improve ground vehicle tracking. we propose using two filters to accomplish the task: one to perform real time physical tracking, and the other to perform lead… More

Under the advanced weapon station automation/integration topic, we propose an innovative research to integrate target extraction, automation and expert systems into one demonstratable weapon system for training intelligent gunners, and developing fire control decisions. three phase i objectives are:… More

Converted from advanced automatic target recognition (ATR) processors, this new feature extraction/GIS system (a) uses raster data as input, and thus eliminates manual digitization; (b) uses expert systems to extract features automatically, and thus eliminates time-consuming and error-prone manual… More

For this SBIR effort, first, we will prove that map features in NOAA's raster nautical charts can be extracted with automated means rather than manual digitizing. Second, we will prove that the extracted raster-based features can be vetorized with no or insignificant error in size, shape, and… More