Simulation of Optical Remote-Sensing Scenes With Application to the EnMAP Hyperspectral Mission

The simulation of remote-sensing images is a useful tool for a variety of tasks, such as the definition of future Earth Observation systems, the optimization of instrument specifications, and the development and validation of data processing algorithms. A scene simulator for optical hyperspectral an...

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Published in:IEEE transactions on geoscience and remote sensing Vol. 47; no. 7; pp. 2340 - 2351
Main Authors: Guanter, L., Segl, K., Kaufmann, H.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.07.2009
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0196-2892, 1558-0644
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Abstract The simulation of remote-sensing images is a useful tool for a variety of tasks, such as the definition of future Earth Observation systems, the optimization of instrument specifications, and the development and validation of data processing algorithms. A scene simulator for optical hyperspectral and multispectral data has been implemented in the frame of the Environmental Mapping and Analysis Program (EnMAP) mission. EnMAP is a German-built hyperspectral space sensor scheduled for launch in 2012. EnMAP will measure in the 420-2450-nm spectral range at a varying spectral sampling of 6.5-10 nm. Images will cover 30 times 30 km areas at an approximate ground sampling distance of 30 m. The EnMAP scene simulator presented in this paper is able to generate realistic EnMAP-like data in an automatic way under a set of user-driven instrumental and scene parameters. Radiance and digital numbers data are generated by five sequential processing modules which are able to produce data over a range of natural environments, acquisition and illumination geometries, cloud covers, and instrument configurations. The latter include the simulation of data nonuniformity in the spatial and spectral domains, spatially coherent and noncoherent instrumental noise, and instrument's modulation transfer function. Realistic surface patterns for the simulated data are provided by existing remote-sensing data in different environments, from dry geological sites to green vegetation areas. A flexible radiative transfer simulation scheme enables the generation of different illumination, observation, and atmospheric conditions. The methodology applied to the complete scene simulation and some sample results are presented and analyzed in this paper.
AbstractList The simulation of remote-sensing images is a useful tool for a variety of tasks, such as the definition of future Earth Observation systems, the optimization of instrument specifications, and the development and validation of data processing algorithms.
The simulation of remote-sensing images is a useful tool for a variety of tasks, such as the definition of future Earth Observation systems, the optimization of instrument specifications, and the development and validation of data processing algorithms. A scene simulator for optical hyperspectral and multispectral data has been implemented in the frame of the Environmental Mapping and Analysis Program (EnMAP) mission. EnMAP is a German-built hyperspectral space sensor scheduled for launch in 2012. EnMAP will measure in the 420-2450-nm spectral range at a varying spectral sampling of 6.5-10 nm. Images will cover 30 times 30 km areas at an approximate ground sampling distance of 30 m. The EnMAP scene simulator presented in this paper is able to generate realistic EnMAP-like data in an automatic way under a set of user-driven instrumental and scene parameters. Radiance and digital numbers data are generated by five sequential processing modules which are able to produce data over a range of natural environments, acquisition and illumination geometries, cloud covers, and instrument configurations. The latter include the simulation of data nonuniformity in the spatial and spectral domains, spatially coherent and noncoherent instrumental noise, and instrument's modulation transfer function. Realistic surface patterns for the simulated data are provided by existing remote-sensing data in different environments, from dry geological sites to green vegetation areas. A flexible radiative transfer simulation scheme enables the generation of different illumination, observation, and atmospheric conditions. The methodology applied to the complete scene simulation and some sample results are presented and analyzed in this paper.
Author Guanter, L.
Kaufmann, H.
Segl, K.
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  fullname: Kaufmann, H.
  organization: Helmholtz Centre Potsdam, GeoForschungsZentrum German Res. Centre For Geosci., Potsdam
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Keywords scene simulation
algorithms
simulation
radiative transfer
instrumental noise
sampling
data processing
remote sensing
vegetation
cartography
clouds
Environmental Mapping and Analysis Program (EnMAP)
nonuniformity
instruments
optimization
spectroscopy
imaging spectroscopy
noise
geometry
transfer functions
programs
radiance
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Snippet The simulation of remote-sensing images is a useful tool for a variety of tasks, such as the definition of future Earth Observation systems, the optimization...
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SubjectTerms Algorithms
Analytical models
Applied geophysics
Atmospheric modeling
Computer simulation
Data processing
Earth sciences
Earth, ocean, space
Environmental Mapping and Analysis Program (EnMAP)
Exact sciences and technology
Hyperspectral imaging
Hyperspectral sensors
Illumination
Image sampling
imaging spectroscopy
instrumental noise
Instruments
Internal geophysics
Layout
Lighting
Missions
nonuniformity
Optical sensors
Radiance
radiative transfer
Remote sensing
Sampling
scene simulation
Simulation
Spectra
Title Simulation of Optical Remote-Sensing Scenes With Application to the EnMAP Hyperspectral Mission
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