High-speed atmospheric correction for spectral image processing

Timothy Perkins; Steven Adler-Golden; Patrice Cappelaere; Daniel Mandl

doi:10.1117/12.918908

14 May 2012 High-speed atmospheric correction for spectral image processing

Timothy Perkins, Steven Adler-Golden, Patrice Cappelaere, Daniel Mandl

Proceedings Volume 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII; 83900V (2012) https://doi.org/10.1117/12.918908
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

Land and ocean data product generation from visible-through-shortwave-infrared multispectral and hyperspectral imagery requires atmospheric correction or compensation, that is, the removal of atmospheric absorption and scattering effects that contaminate the measured spectra. We have recently developed a prototype software system for automated, low-latency, high-accuracy atmospheric correction based on a C++-language version of the Spectral Sciences, Inc. FLAASH™ code. In this system, pre-calculated look-up tables replace on-the-fly MODTRAN® radiative transfer calculations, while the portable C++ code enables parallel processing on multicore/multiprocessor computer systems. The initial software has been installed on the Sensor Web at NASA Goddard Space Flight Center, where it is currently atmospherically correcting new data from the EO-1 Hyperion and ALI sensors. Computation time is around 10 s per data cube per processor. Further development will be conducted to implement the new atmospheric correction software on board the upcoming HyspIRI mission's Intelligent Payload Module, where it would generate data products in nearreal time for Direct Broadcast to the ground. The rapid turn-around of data products made possible by this software would benefit a broad range of applications in areas of emergency response, environmental monitoring and national defense.

Citation Download Citation

Timothy Perkins, Steven Adler-Golden, Patrice Cappelaere, and Daniel Mandl "High-speed atmospheric correction for spectral image processing", Proc. SPIE 8390, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, 83900V (14 May 2012); https://doi.org/10.1117/12.918908

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