Cross-Sensor Standardization

Abstract

The disclosed embodiments include a method, apparatus, and computer program product for generating a cross-sensor standardization model. For example, one disclosed embodiment includes a system that includes at least one processor; at least one memory coupled to the at least one processor and storing instructions that when executed by the at least one processor performs operations comprising selecting a representative sensor from a group of sensors comprising at least one of same primary optical elements and similar synthetic optical responses and calibrating a cross-sensor standardization model based on a matched data pair for each sensor in the group of sensors and for the representative sensor. In one embodiment, the at least one memory coupled to the at least one processor and storing instructions that when executed by the at least one processor performs operations further comprises generating the matched data pair, wherein the matched data pair comprises calibration input data and calibration output data.

1 . A computer-implemented method for generating a cross-sensor standardization model, the method comprising:
 selecting a representative sensor from a group of sensors comprising at least one of same primary optical elements and similar synthetic optical responses; and   calibrating the cross-sensor standardization model based on a matched data pair for each sensor in the group of sensors and for the representative sensor.   
     
     
         2 . The method of  claim 1 , further comprising:
 generating the matched data pair, wherein the matched data pair comprises calibration input data and calibration output data.   
     
     
         3 . The method of  claim 1 , further comprising:
 identifying each sensor to form the group of sensors, wherein each sensor comprises at least one of the same primary optical elements and the similar synthetic optical responses.   
     
     
         4 . The method of  claim 1 , wherein the same primary optical elements comprises at least one of a same design and a same fabrication batch, and wherein the similar synthetic optical responses comprises similar synthetic optical responses associated with one of similar design and similar fabrication batches. 
     
     
         5 . The method of  claim 1 , wherein the representative sensor is a synthetic sensor generated from a sensor in the group of sensors. 
     
     
         6 . The method of  claim 1 , wherein the representative sensor is a hypothetical sensor simulated to minimize a difference between calculated optical responses of the representative sensor and averaged optical responses over the group of sensors. 
     
     
         7 . The method of  claim 1 , wherein the step of calibrating the cross-sensor standardization model based on a matched data pair of each sensor in the group of sensors and the representative sensor comprises:
 calibrating the cross-sensor standardization model using one of a single-input single-output configuration, a multi-input single-output configuration, and a multi-input multi-output configuration.   
     
     
         8 . A system comprising:
 at least one processor;   at least one memory coupled to the at least one processor and storing instructions that when executed by the at least one processor performs operations comprising:
 selecting a representative sensor from a group of sensors comprising at least one of same primary optical elements and similar synthetic optical responses; and 
 calibrating a cross-sensor standardization model based on a matched data pair for each sensor in the group of sensors and for the representative sensor. 
   
     
     
         9 . The system of  claim 8 , wherein at least one memory coupled to the at least one processor and storing instructions that when executed by the at least one processor performs operations further comprises:
 generating the matched data pair, wherein the matched data pair comprises calibration input data and calibration output data.   
     
     
         10 . The system of  claim 8 , wherein at least one memory coupled to the at least one processor and storing instructions that when executed by the at least one processor performs operations further comprises:
 identifying each sensor to form the group of sensors, wherein each sensor comprises at least one of the same primary optical elements and the similar synthetic optical responses.   
     
     
         11 . The system of  claim 8 , wherein the same primary optical elements comprises at least one of a same design and a same fabrication batch, and wherein the similar synthetic optical responses comprises similar synthetic optical responses associated with one of similar design and similar fabrication batches. 
     
     
         12 . The system of  claim 8 , wherein the representative sensor is a synthetic sensor generated from a sensor in the group of sensors. 
     
     
         13 . The system of  claim 8 , wherein the representative sensor is a hypothetical sensor simulated to minimize a difference between calculated optical responses of the representative sensor and averaged optical responses over the group of sensors. 
     
     
         14 . The system of  claim 8 , wherein the operations for calibrating the cross-sensor standardization model based on a matched data pair of each sensor in the group of sensors and the representative sensor comprises:
 calibrating the cross-sensor standardization model using one of a single-input single-output configuration, a multi-input single-output configuration, and a multi-input multi-output configuration.   
     
     
         15 . A non-transitory computer readable medium comprising computer executable instructions for generating a cross-sensor standardization model, the computer executable instructions when executed causes one or more machines to perform operations comprising:
 selecting a representative sensor from a group of sensors comprising at least one of same primary optical elements and similar synthetic optical responses; and   calibrating the cross-sensor standardization model based on a matched data pair for each sensor in the group of sensors and for the representative sensor.   
     
     
         16 . A non-transitory computer readable medium of  claim 15 , wherein the operations further comprises:
 generating the matched data pair, wherein the matched data pair comprises calibration input data and calibration output data.   
     
     
         17 . A non-transitory computer readable medium of  claim 15 , wherein the operations further comprises:
 identifying each sensor to form the group of sensors, wherein each sensor comprises at least one of the same primary optical elements and the similar synthetic optical responses.   
     
     
         18 . A non-transitory computer readable medium of  claim 15 , wherein the same primary optical elements comprises at least one of a same design and a same fabrication batch, and wherein the similar synthetic optical responses comprises similar synthetic optical responses associated with one of similar design and similar fabrication batches. 
     
     
         19 . The non-transitory computer readable medium of  claim 15 , wherein the representative sensor is a synthetic sensor generated from a sensor in the group of sensors. 
     
     
         20 . The non-transitory computer readable medium of  claim 15 , wherein the representative sensor is a hypothetical sensor simulated to minimize a difference between calculated optical responses of the representative sensor and averaged optical responses over the group of sensors.