TY - JOUR
T1 - Synthesis of high spatial and spectral resolution imagery from multiple image sources
AU - Filiberti, Daniel
AU - Schowengerdt, Robert
AU - Marsh, Stuart
N1 - Funding Information:
We extend many thanks to the U.S. Geological Survey (USGS) in Denver, and especially to Roger Clark and Fred Kruse, for providing the calibrated AVIRIS data and derived mineral images used in this study. We also thank Mike Abrams for providing the color infrared aerial photography and the USGS in Menlo Park for scanning the photos.
Publisher Copyright:
© 1993 SPIE. All rights reserved.
PY - 1993/11/15
Y1 - 1993/11/15
N2 - 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 a 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.
AB - 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 a 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.
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U2 - 10.1117/12.161551
DO - 10.1117/12.161551
M3 - Conference article
AN - SCOPUS:85076256066
VL - 1938
SP - 252
EP - 259
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
SN - 0277-786X
T2 - Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data 1993
Y2 - 11 April 1993 through 16 April 1993
ER -