PICASSO: an end-to-end image simulation tool for space and airborne imaging systems

Cota, Stephen A.; Bell, Jabin T.; Boucher, Richard H.; Dutton, T. E.; Florio, Christopher J.; Franz, G.; Grycewicz, Thomas J.; Kalman, Linda S.; Keller, Robert A.; Lomheim, Terrence S.; Paulson, Diane B.; Wilkinson, Timothy S.

doi:10.1117/1.3457476

Cited by 34 publications

(20 citation statements)

References 12 publications

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“…We first note that the STF has only two wavelength-dependent contributors, the OTF and the detector diffusion TF. Although there are detailed physics-based models of detector diffusion available, [1][2] the input parameters to drive these models can be difficult to estimate. In practice, therefore, the diffusion TF is often approximated by a simple band-averaged TF that has been fit to lab measurements.…”

Section: The Polychromatic Otfmentioning

confidence: 99%

“…We have previously reported, at this conference and elsewhere, on our own image chain analysis tools, known as PICASSO (Parameterized Image Chain Analysis and Simulation Software). [1] [2] A persistent question in the development and day-to-day use of image chain analysis tools such as PICASSO is that of appropriate level of fidelity. The question arises, of course, only in those cases where fidelity comes at some cost.…”

Section: Introductionmentioning

confidence: 99%

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Modeling spectrally varying resolution in broadband imaging systems

2015

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The remote sensing system engineering process often makes use of modeling and simulation tools to flow down specifications to subsystems and components, and/or to predict performance given a particular set of defined capabilities. A persistent question in the development and use of such tools is that of appropriate level of fidelity. In this paper we look at one problem area encountered in the simulation of panchromatic and other broadband imaging systems, that of accounting for spectrally varying resolution over the band. An established method for treating this variation is that of the polychromatic optical transfer function (OTF), but this technique imposes a measure of complexity on the simulation tool software architecture, as well as on users who must subsequently interact with it. We present a methodology for assessing the required level of fidelity for this problem and show that under some conditions it appears possible to forgo the polychromatic OTF formalism, or else to treat it with less than full rigor, with minimal loss in accuracy.

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Section: The Polychromatic Otfmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling spectrally varying resolution in broadband imaging systems

2015

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“…Wavefront error can be modeled in the pupil plane or in the spatial frequency plane. In this paper, we use the Parameterized Image Chain Analysis and Simulation SOftware (PICASSO) [1,2] to explore the wavefront error parameter space and guide decisions on how best to implement wavefront error in future analyses. In Section 2, we describe the steps involved in approximating the effect of wavefront error via the introduction of a simple phase map in the pupil plane.…”

Section: Introductionmentioning

confidence: 99%

Simple techniques for modeling wavefront error in imaging systems

Schnee

Cota

2015

Earth Observing Systems XX

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The performance of an optical system depends on the characteristics manufacturing errors of the mirrors, including aberrations on the primary mirror. When designing a system and evaluating its expected performance, the exact nature of the aberrations is not known beforehand, so approximations and simplifying assumptions need to be made. A common assumption is that aberrations of the primary mirror take the form of correlated Gaussian peaks and valleys about the ideal (perfectly spherical) primary mirror. The effect of such correlated Gaussian imperfections can be calculated in an average sense, using the optical quality factor (OQF) to modify the diffraction-limited modulation transfer function (MTF). Alternatively, a single instantiation of the aberrations can be added as phase variations to the pupil function, followed by calculation of the MTF. In this paper we compare these two methods of modeling the effects of correlated Gaussian aberrations on the MTF and point spread function (PSF). We explore the parameter space within which the OQF approximation is valid and the range of possible MTFs resulting from individual instantiations of the aberrations.

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“…Remote sensing image simulation has a history of several decades. Up to now, countless efforts have been made to develop methods and tools for image simulation, and there are some that have been widely used; for instance, DIRSIG (The Digital Imaging and Remote Sensing Image Generation Model), which is an image simulation model based on first principles and capable of producing multi-or hyper-spectral images in the 0.3 to 20 micron region of the electromagnetic spectrum [2]; DART (Discrete Anisotropic Radiative Transfer), a radiative transfer model-based image simulation program with considerations of three dimensional surface structure and atmospheric effects [3]; PICASSO (Parameterized Image Chain Analysis & Simulation SOftware), a simulation tool that can perform the top of atmosphere radiance and impact of various noises in the image in both visible to near-infrared and thermal infrared regions [4][5]; a scene simulator for optical hyperspectral data from 'HJlA-HSI' has been developed and the simulation data is very ideal in most cases [6].…”

Section: Introductionmentioning

confidence: 99%

Analysis of surface radiance composition for absorption bands in middle-infrared regions

Liu

Zhang

2012

2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS)

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Image simulation has been growing important for prelaunch sensor design and data processing afterwards. Middle infrared regions have many applications in remote sensing but its image simulation has few studies, not mention its absorption regions. Considering its prospect for remote sensing application, the analysis of surface radiance composition is done in this paper to lay a foundation for surface image simulation of absorption regions in mid infrared wavelengths. The comparison between reflected surface radiance and emission part is made by an experiment on common materials on the ground, giving the conclusions whether the radiance of reflection can be neglected or not in surface scene simulation. The analysis shows that surface radiance of reflective from water can be neglected in surface scene simulation of absorption regions in MIR; on the other hand, objects with relatively high reflectance like soils need to take the reflection into consideration.

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PICASSO: an end-to-end image simulation tool for space and airborne imaging systems

Cited by 34 publications

References 12 publications

Modeling spectrally varying resolution in broadband imaging systems

Modeling spectrally varying resolution in broadband imaging systems

Simple techniques for modeling wavefront error in imaging systems

Analysis of surface radiance composition for absorption bands in middle-infrared regions

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