imclab / multipleviewpipeline Goto Github PK

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1. INTRODUCTION

A. Neo-Geography Toolkit

The Neo-Geography Toolkit (NGT) is a collection of tools for automated
processing of geospatial data, including images and maps. It is capable
of processing raw raster data from remote sensing instruments and
transforming it into useful cartographic products, such as visible image
base maps, topographic models, etc. Additionally, components of the NGT
can perform data processing on extremely large geospatial data sets (up
to several tens of terabytes) via parallel processing pipelines.
Finally, it can also transform raw metadata (i.e.  SPICE kernels and PDS
image labels), vector data (e.g., 2D/3D shape files), and geo-tagged
data sets into standard NeoGeography data formats, such as KML.  NGT is
an evolving collection of loosely connected open-source modules designed
by the NASA Ames Intelligent Robotics Group. Modules of the NGT will be
released one at a time, as they reach maturity.

B. Multiple View Pipeline

The NASA Multiple View Pipeline (MVP) is a suite of automated geodesy &
stereogrammetry tools designed for processing planetary imagery captured
from orbiting and landed robotic explorers on other planets. It was
designed to process stereo imagery captured by NASA spacecraft and
produce cartographic products including digital elevation models (DEMs),
ortho-projected imagery, and 3D models. These data products are suitable
for science analysis, mission planning, and public outreach.

This software differentiates itself from another NGT product, Ames
Stereo Pipeline, in this software novel technique to utilize multiple
views to construct elevation. This provides better resolved terrain
and robustness against image noise.

The Multiple-View Pipeline (AMVP) models the entire image 
formation process and find the optimal height for each DEM post given 
every available orbital image. Complex terrain and reflectance models 
are simplified by assuming planar terrain and a linear reflectance model 
on a small patch around a given DEM post. 

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2. LICENSE (see COPYING for the full text)

A. Copyright and License Summary

Copyright (c) 2009-2013, United States Government as represented by the
Administrator of the National Aeronautics and Space Administration. All
rights reserved.

The NGT platform (of which MVP is a part of) is licensed under the
Apache License, Version 2.0 (the "License"); you may not use this file
except in compliance with the License. You may obtain a copy of the
License at http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

B. Third-Party Libraries

This distribution may include some bundled third-party software as a
convenience to the user.  This software, located in the "thirdparty/"
directory of the source code release, is not covered by the
above-mentioned distribution agreement or copyright. Binary releases
distribute third party software in both the "bin" and "lib"
directories. See the included documentation for detailed copyright
and license information for any third-party software or check the
THIRDPARTYLICENSES file.  In addition, various pieces of the NGT
depend on additional third-party libraries that the user is expected
to have installed.

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3. DOCUMENTATION

Building Instructions:
----------------------

cd MultipleViewPipeline
mkdir build
cmake ../
make

Running Instructions:
---------------------
build/src/gen_synth_scene - generate a synthetic scene
mvpgui/mvpgui - an objective function explorer

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4. CONTACTS & CREDITS

A. Mailing List

A mailing list has not yet been setup. Please contact the authors
throught Github.

B. Credits

The NGT was developed within the Autonomous Systems and
Robotics area of the Intelligent Systems Division at NASA's Ames
Research Center. It leverages the Intelligent Robotics Group's (IRG)
extensive experience developing surface reconstruction and tools for
planetary exploration.

See the AUTHORS file for a complete list of developers.