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Image and Signal Processing for Remote Sensing XI精编.pdf

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Image and Signal Processing for Remote Sensing XI精编

P.K. Acharya, R. Panfili, A. Berk, S.M. Adler-Golden, M. Fox, et al., A correlated-k based ultra- fast radiative transfer (kURT) method, Proc. SPIE 5982, Image and Signal Processing for Remote Sensing XI, 598217 (October 18, 2005) Copyright 2005 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. /10.1117/12.627715 See next page. A Correlated-k Based Ultra-Fast Radiative Transfer (kURT) Method *a a a a Prabhat K. Acharya , Raphael Panfili , Alexander Berk , Steve M. Adler-Golden , a b c Marsha Fox , Alan Wetmore and Irwin E. Alber aSpectral Sciences, Inc. , 4 Fourth Avenue, Burlington, MA 01803 bU.S. Army Research Laboratory, Adelphi, MD 20783 cBoeing Space and Intelligence Systems, Seal Beach, CA 90740 ABSTRACT A new sensor-specific correlated-k (c-k) ultra-fast radiative transfer (RT) formalism, kURT, has been designed for fast broad-bandpass scene simulations from UV-visible to LWIR wavelengths. A higher resolution RT code (1 cm-1 MODTRAN) has been adapted to output 1 cm-1 correlated-k parameters for ozone, water, and the combined uniformly mixed species on a pressure-temperature grid, which are merged to form a compact c-k set incorporating the sensor bandpass response function. The com