Abstract: An atmospheric correction system (ACS) is proposed, which accounts for the errors resulting from the in-homogeneities in the operational atmosphere along the slant path by constructing atmospheric profiles from the data along the actual target to sensor slant-range path. The ACS generates a slant-range path based on the arbitrary geometry that models the sensor to target relationship. This path takes the atmosphere and obstructions between the two endpoints into account when determining the atmospheric profile. The ACS uses assimilation to incorporate weather data from multiple sources and constructs an atmospheric profile from the best available data. The ACS allows the user to take advantage of variable weather and information along the path that can lead to increased accuracy in the derived atmospheric compensation value.

Abstract: An atmospheric correction system (ACS) is proposed, which accounts for the errors resulting from the in-homogeneities in the operational atmosphere along the slant path by constructing atmospheric profiles from the data along the actual target to sensor slant-range path. The ACS generates a slant-range path based on the arbitrary geometry that models the sensor to target relationship. This path takes the atmosphere and obstructions between the two endpoints into account when determining the atmospheric profile. The ACS uses assimilation to incorporate weather data from multiple sources and constructs an atmospheric profile from the best available data. The ACS allows the user to take advantage of variable weather and information along the path that can lead to increased accuracy in the derived atmospheric compensation value.

Abstract: A method and structure that inputs atmospheric forecast information from the atmospheric forecast database based on current, real time atmospheric measurements. The hyperspectral detection processing unit also inputs at least one selected reflectance library from the reflectance library database, and data collection and sensor parameters from the sensor. With this information, the hyperspectral detection processing unit employs a model to produce at least one mission radiance library during the mission planning phase. Then, during the actual mission execution, the sensor is used to collect the hyperspectral data and the comparator can immediately compare the hyperspectral data to the mission radiance library to identify features and/or targets.

Abstract: A method and structure that inputs atmospheric forecast information from the atmospheric forecast database based on current, real time atmospheric measurements. The hyperspectral detection processing unit also inputs at least one selected reflectance library from the reflectance library database, and data collection and sensor parameters from the sensor. With this information, the hyperspectral detection processing unit employs a model to produce at least one mission radiance library during the mission planning phase. Then, during the actual mission execution, the sensor is used to collect the hyperspectral data and the comparator can immediately compare the hyperspectral data to the mission radiance library to identify features and/or targets.