At Crosstek, we discern concepts through a geospatial point of view, and this is how we approach our software platforms. This is a key component to our approach in sensor integration and platform development for Agriculture and Defense applications.
SPECTRAL TRANSFORM DEVELOPMENT
Crosstek team members worked on and presented the Kauth–Thomas (K-T) transform coefficients for the reflectance data of the WorldView-2 (WV-2) sensor. The K-T transform is a widely used spectral enhancement, which employs a set of eigenvectors that transforms the given spectral space into a defined feature space. This feature space offers the user a physically based coordinate that helps to describe the spectral signature of the individual pixels.
Crosstek uses varied commercial sensor platforms acquiring hi-resolution multispectral, hyperspectral, IR and thermal, and SAR imagery to analyze a method of detection and monitoring. The algorithms and processing routines created provide Defense environments with the capability for global monitoring.
SPATIAL SIMILARITIES AND STATISTICAL FEATURE SELECTION
Crosstek created software to capture and display reoccurring or significant activities or events. User-recognized patterns help explain events through complex data.
LARGE AERIAL COVERAGE REMOTE SENSING
Crosstek applications provide investigation of weather patterns using spatial downscaling of satellite data for hydrologic, hydrometerologic and geologic predictions.