Method and system for vicarious spatial characterization of a remote image sensor
AssigneeRaytheon Company
InventorsJohn F. Silny, Stephen J. Schiller
Life of this patent
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Abstract
A method and a system for vicarious characterization of a remote sensing sensor are described. The system includes a plurality of reflective mirrors configured and arranged to reflect radiation from a source of radiation onto a remotely located radiation sensor. The plurality of mirrors are spaced apart so as to obtain a plurality of distinct spot images on the remotely located radiation sensor. The system further includes a processor configured to analyze the plurality of spot images by fitting the images to obtain a point spread function of the remote sensing sensor.
Claims13
A system for vicarious spatial characterization of a remote sensing sensor, comprising:
- a processor configured to analyze a plurality of distinct spot images by fitting the images to obtain a point spread function of a remote sensing sensor;
- the processor further configured to execute an algorithm for fitting the images, wherein the algorithm includes:
- fitting each of the plurality of spot images using a fitting function,
- determining a root mean square error of the fitting function for each of the plurality of images to obtain a plurality of root mean square errors,
- calculating a sum of all the root mean square errors, and
- minimizing the sum of all the root mean square errors to obtain a point spread function of the remote sensing sensor;
- and
- wherein the processor is further configured to execute a first loop to fit each of the plurality of spot images without varying a full width at half maximum parameter of the fitting function, and execute a second loop to minimize the sum of all the root mean square errors.
A method for vicarious spatial characterization of a remote sensing sensor, comprising:
- detecting by a remotely located radiation sensor radiation reflected by a plurality of mirrors as a plurality of spot images;
- analyzing the plurality of spot images by executing an algorithm for fitting the spot images to obtain a point spread function of the remote sensing sensor;
- fitting each of the plurality of spot images using a fitting function;
- determining a root mean square error of the fitting function for each of the plurality of images to obtain a plurality of root mean square errors;
- calculating a sum of all the root mean square errors;
- minimizing the sum of all the root mean square errors to obtain a point spread function of the remote sensing sensor;
- and
- fitting each of the plurality of spot images without varying a full width at half maximum parameter of the fitting function, and minimizing the sum of all the root mean square errors.
A computer program product comprising a non-transitory computer readable medium having instructions stored thereon which, when executed by a processor, carries out functions comprising:
- fitting each of a plurality of spot images using a fitting function;
- determining a root mean square error of the fitting function for each of the plurality of images to obtain a plurality of root mean square errors,
- calculating a sum of all the root mean square errors,
- minimizing the sum of all the root mean square errors to obtain a point spread function of the remote sensing sensor;
- and
- fitting each of the plurality of spot images without varying a full width at half maximum parameter of the fitting function, and minimizing the sum of all the root mean square errors.
Dependencies are inferred from the claim text.