Volume XLII-5
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 817-822, 2018
https://doi.org/10.5194/isprs-archives-XLII-5-817-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 817-822, 2018
https://doi.org/10.5194/isprs-archives-XLII-5-817-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  27 Nov 2018

27 Nov 2018

AN AUTOMATED SOFTWARE FRAMEWORK FOR EVALUATION AND IMPROVEMENT OF ABSOLUTE GEOMETRIC LOCATION ACCURACY OF MULTISPECTRAL REMOTE SENSING SATELLITE IMAGERY

Y. Bhateja, I. Misra, S. M. Moorthi, and D. Dhar Y. Bhateja et al.
  • Optical Data Processing Division, Signal and Image Processing Group, Space Applications Centre (ISRO), Ahmedabad 380015, India

Keywords: Geometric Location Accuracy, GCP, Feature Point, GIS, Remote Sensing, Data Product

Abstract. Geometric accuracy is an important parameter for quality assessment of a data product and is vital for certain applications aiming on improving and bringing precision in data products. Automatic geometric accuracy evaluation of the satellite image is attempted by matching a known, surveyed location typically a ground control point (GCP) calibrated using a differential global positioning system (DGPS), verified using Google Maps, to the corresponding identifiable feature in an image product. The requirement for this development is to address the non-uniformity in the available data products in terms of coordinates reference system, resolution and available bands, which the software overcomes successfully by benefiting from the classes and functions available in openly available GIS libraries. RMSE of 0.8 pixels is found in analysis for the chosen data. Further, an algorithm is worked up to rectify the image for this geometric shift.