NASA has a critical need for intelligent change detection algorithms andgeoprocessing techniques for digital imagery archives of earth sciencedata obtained from satellites and aerial platforms. Currently, the changedetection process is slow, labor-intensive, and costly. Change detectionmethods that… More

NASA has a critical need to automate the identification and classification of features in Earth Science imagery, particularly new high-resolution imagery. In addition, commercial applications of Earth Science data as well as the viability of the remote sensing industry depend on the development of… More

NASA has a critical need to automate the identification and classification of features in Earth Science imagery, particularly new high-resolution imagery. In addition, commercial applications of Earth Science data as well as the viability of the remote sensing industry depend on the development of… More

This Small Business Innovation Research (SBIR) Phase I project describes a powerful new approach to GIS data-mining for large image databases. The current inefficiencies in extracting information from these databases are primarily caused by the limited ability to extract baseline geographic… More

The Army has a critical need to accelerate and improve terrain analyses from remotely sensed imagery to support the increasingly mobile requirements of the Army Warfighter. Existing techniques for terrain analysis, topographic, and reproduction supportare slow, labor intensive processes that do not… More

The proposed system will give an approach for increasing the speed, accuracy, and validation of feature extraction models while simultaneously creating an environment that allows both the flexibility for power users and the simplicity for the majority ofusers (novice users that can be trained and… More

This Small Business Innovation Research Program Phase II project will develop a highly innovative data mining software tool that is capable of mining imagery and spatial information stored in a database management system (DBMS). Billions of dollars have been spent in converting the world's vast… More

This Small Business Innovation Research Phase I project describes a new and innovative approach for filtering objectionable image content distributed on the Internet. As Internet usage in the workplace has increased, companies have had to deal with issues such as loss of productivity, unnecessary… More

The U.S. Army requires automated feature extraction (AFE) software for collecting very high-resolution 3D urban features from terrestrial LIDAR data to support the ground-based Warfighter operating in the urban battlespace. Advanced vehicle-mounted and man-portable terrestrial Light Imaging and… More

The United States Navy vision for Modeling and Simulation (M&S) includes making better analytical decisions, improving warfighting skills, and developing superior systems for maintaining the world's most powerful maritime forces for the joint force commanders. Over the past five years the potential… More

NAVAIR requires accurate and timely 3-D geospecific features, terrain, and imagery data to support Modeling and Simulation (M&S) software applications used in training and pre-mission rehearsal simulators. LIDAR data provides an excellent source for spatially accurate digital terrain and 3-D… More

The U.S. Army requires automated feature extraction (AFE) software to collect 3D urban features from terrestrial LIDAR data in a timely and cost-effective manner to support the ground-based Warfighter operating in the urban battlespace. Vehicle-mounted terrestrial LIDAR systems have the capability… More

In response to NASA Topic S7.01, Visual Learning Systems, Inc. (VLS) will develop a novel hyperspectral plug-in toolkit for its award winning Feature AnalystREG software that will (a) leverage VLS' proven algorithms to provide a new, simple, and long-awaited approach to materials classification from… More

The proposed activities will result in the development of a novel hyperspectral feature-extraction toolkit that will provide a simple, automated, and accurate approach to materials classification from hyperspectral imagery (HSI). The proposed toolkit will be built as an extension to the… More