Share Email Print

Proceedings Paper

Synthesis of high spatial and spectral resolution imagery from multiple image sources
Author(s): Daniel P. Filiberti; Robert A. Schowengerdt; Stuart E. Marsh
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 15 November 1993
PDF: 8 pages
Proc. SPIE 1938, Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data, (15 November 1993); doi: 10.1117/12.161551
Show Author Affiliations
Daniel P. Filiberti, Univ. of Arizona (United States)
Robert A. Schowengerdt, Univ. of Arizona (United States)
Stuart E. Marsh, Univ. of Arizona (United States)

Published in SPIE Proceedings Vol. 1938:
Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data
Pat S. Chavez; Robert A. Schowengerdt, Editor(s)

© SPIE. Terms of Use
Back to Top