View source for 18233352. SYSTEM AND METHOD FOR VICARIOUS CALIBRATION OF OPTICAL DATA FROM SATELLITE SENSORS simplified abstract (Tata Consultancy Services Limited)

=SYSTEM AND METHOD FOR VICARIOUS CALIBRATION OF OPTICAL DATA FROM SATELLITE SENSORS=


==Organization Name==

[[:Category:Tata Consultancy Services Limited|Tata Consultancy Services Limited]]


[[Category:Tata Consultancy Services Limited]]

==Inventor(s)==

[[:Category:Chaman Banolia of New Delhi (IN)|Chaman Banolia of New Delhi (IN)]][[Category:Chaman Banolia of New Delhi (IN)]]

[[:Category:Balamuralidhar Purushothaman of Bangalore (IN)|Balamuralidhar Purushothaman of Bangalore (IN)]][[Category:Balamuralidhar Purushothaman of Bangalore (IN)]]

[[:Category:Shailesh Shankar Deshpande of Pune (IN)|Shailesh Shankar Deshpande of Pune (IN)]][[Category:Shailesh Shankar Deshpande of Pune (IN)]]

==SYSTEM AND METHOD FOR VICARIOUS CALIBRATION OF OPTICAL DATA FROM SATELLITE SENSORS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18233352 titled 'SYSTEM AND METHOD FOR VICARIOUS CALIBRATION OF OPTICAL DATA FROM SATELLITE SENSORS

==Simplified Explanation==

Embodiments herein provide a method and system for vicarious calibration of optical data from satellite sensors for urban scene flat fields. Test sites are automatically identified in the urban scene to assist in vicarious calibration or on-board calibration of hyperspectral/multispectral images. An internal average relative reflectance is calculated to determine the relative reflectance of the image. Band ratios for various pixels are determined to assess the flatness of the spectrum. Flat field candidates are identified from pixels with an average band ratio nearing zero, and a morphological technique is applied to determine a flat field. Finally, the image is calibrated vicariously based on the determined flat field as a test site. On-board calibration of the remote sensing image may lead to a faster way to obtain the reflectance image of the scene with the help of calibration constants.

* Automatic identification of test sites in urban scenes for vicarious calibration of satellite sensor data
* Calculation of internal average relative reflectance to determine image reflectance
* Determination of flat field candidates based on band ratios of pixels
* Application of morphological technique to identify flat fields
* Vicarious calibration of the image based on the determined flat field

== Potential Applications ==
This technology can be applied in various fields such as remote sensing, urban planning, environmental monitoring, and agriculture.

== Problems Solved ==
This technology solves the problem of accurately calibrating optical data from satellite sensors for urban scenes, which can improve the quality and reliability of remote sensing images.

== Benefits ==
The benefits of this technology include improved accuracy in image calibration, faster processing of reflectance images, and enhanced data for analysis and decision-making in various applications.

== Potential Commercial Applications ==
Potential commercial applications of this technology include satellite imaging companies, environmental monitoring agencies, urban planning departments, and agricultural organizations.

== Possible Prior Art ==
One possible prior art for this technology could be the use of ground-based calibration techniques for remote sensing images in urban areas.


==Original Abstract Submitted==

Embodiments herein provide a method and system for a vicarious calibration of optical data from satellite sensors for urban scene flat fields. Identifying test sites automatically in the urban scene helps in vicarious calibration or on-board calibration of the hyperspectral/multispectral image. An internal average relative reflectance is calculated to get a relative reflectance of the image. Band ratios for various pixels is determined to assess flatness of the spectrum. Flat field candidates are identified from the various pixels having average band ratio nearing zero and a morphological technique is applied to determine a flat field. Finally, the image is calibrated vicariously based on the determined flat field as a test site. The on-board calibration of the remote sensing image may lead to a faster way to get the reflectance image of the scene, with the help of the calibration constants.



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