Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Scientific image rendering for space scenes with the SurRender software   Spacecraft autonomy can be enhanced by vision-based navigation (VBN)
techniques. Applications range from manoeuvers around Solar System objects and
landing on planetary surfaces, to in-orbit servicing or space debris removal.
The development and validation of VBN algorithms relies on the availability of
physically accurate relevant images. Yet archival data from past missions can
rarely serve this purpose and acquiring new data is often costly. The SurRender
software is an image simulator that addresses the challenges of realistic image
rendering, with high representativeness for space scenes. Images are rendered
by raytracing, which implements the physical principles of geometrical light
propagation, in physical units. A macroscopic instrument model and scene
objects reflectance functions are used. SurRender is specially optimized for
space scenes, with huge distances between objects and scenes up to Solar System
size. Raytracing conveniently tackles some important effects for VBN
algorithms: image quality, eclipses, secondary illumination, subpixel limb
imaging, etc. A simulation is easily setup (in MATLAB, Python, and more) by
specifying the position of the bodies (camera, Sun, planets, satellites) over
time, 3D shapes and material surface properties. SurRender comes with its own
modelling tool enabling to go beyond existing models for shapes, materials and
sensors (projection, temporal sampling, electronics, etc.). It is natively
designed to simulate different kinds of sensors (visible, LIDAR, etc.). Tools
are available for manipulating huge datasets to store albedo maps and digital
elevation models, or for procedural (fractal) texturing that generates
high-quality images for a large range of observing distances (from millions of
km to touchdown). We illustrate SurRender performances with a selection of case
studies, placing particular emphasis on a 900-km Moon flyby simulation.

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The categories of this paper are: chem-ph
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The categories of this paper are: stat
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The categories of this paper are: patt-sol
5
The categories of this paper are: gr-qc
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The categories of this paper are: quant-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat
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The categories of this paper are: nucl-th
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The categories of this paper are: chao-dyn
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The categories of this paper are: comp-gas
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The categories of this paper are: bayes-an
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The categories of this paper are: solv-int
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The categories of this paper are: dg-ga
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The categories of this paper are: q-bio
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The categories of this paper are: math-ph