Synthesis of high spatial and spectral resolution imagery from multiple image sources

Daniel P. Filiberti; Robert A. Schowengerdt; Stuart E. Marsh

doi:10.1117/12.161551

15 November 1993 Synthesis of high spatial and spectral resolution imagery from multiple image sources

Daniel P. Filiberti, Robert A. Schowengerdt, Stuart E. Marsh

Proceedings Volume 1938, Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data; (1993) https://doi.org/10.1117/12.161551
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

The simulation of imagery that will be produced by a new sensor is an important element in the design process. To properly account for a new sensor's spatial and spectral degradation, it is necessary to supply as input to the simulation a relatively high spatial and spectral representation of the type of scene to be imaged. The performance of the sensor under design is then evaluated by comparison of the simulated degraded image with the input scene and/or by comparison with simulated images from existing sensors. In this paper we demonstrate how realistic scene with high spatial and spectral resolution can be synthesized from color aerial photography and AVIRIS hyperspectral imagery. Image processing techniques for fusion of aerial photography with AVIRIS imagery that take into account the topography of the scene are described. Sample composite images for a site near Cuprite, Nevada, are presented along with evidence that spectral signatures are preserved after applying the synthesis procedure.

Citation Download Citation

Daniel P. Filiberti, Robert A. Schowengerdt, and Stuart E. Marsh "Synthesis of high spatial and spectral resolution imagery from multiple image sources", Proc. SPIE 1938, Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data, (15 November 1993); https://doi.org/10.1117/12.161551

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