************************************************************************ 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. To date, we have completed only one module: the NASA Ames Stereo Pipeline, but more will soon follow. Check this website for the latest updates. B. Photometry Toolkit The NASA Photometry Toolkit (PhoTK) is a suite of tools designed for processing planetary imagery into seamless mosaics. It achieves these goals through solving exposure times and correcting for individual reflectance. This allows PhoTK to extract the true albedo of a planet's surface. This software is meant to be used as a post process of NASA Ames Stereo Pipeline or USGS's Integrated Software for Imagers and Spectrometers (ISIS). ISIS is only supported through the libraries of GDAL at this current time. Be sure to use GDAL 1.8+. ************************************************************************ 2. LICENSE (see COPYING for the full text) A. Copyright and License Summary Copyright (C) 2006-2009 United States Government as represented by the Administrator of the National Aeronautics and Space Administration (NASA). All Rights Reserved. This software is distributed under the NASA Open Source Agreement (NOSA), version 1.3. The NOSA has been approved by the Open Source Initiative. See the file "COPYING" at the top of the distribution directory tree for the complete NOSA document. THE SUBJECT SOFTWARE IS PROVIDED "AS IS" WITHOUT ANY WARRANTY OF ANY KIND, EITHER EXPRESSED, IMPLIED, OR STATUTORY, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTY THAT THE SUBJECT SOFTWARE WILL CONFORM TO SPECIFICATIONS, ANY IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, OR FREEDOM FROM INFRINGEMENT, ANY WARRANTY THAT THE SUBJECT SOFTWARE WILL BE ERROR FREE, OR ANY WARRANTY THAT DOCUMENTATION, IF PROVIDED, WILL CONFORM TO THE SUBJECT SOFTWARE. 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. ************************************************************************ 3. DOCUMENTATION Available in the docs directory. ************************************************************************ 4. CONTACTS & CREDITS Please mail all bug reports or general questions to: oleg.alexandrov@nasa.gov or ara.nefian@nasa.gov 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---e.g. the Mars Pathfinder and Mars Exploration Rover missions---and rover autonomy. It has also been developed in collaboration with the Adaptive Control and Evolvable Systems (ACES) group, and draws on their experience developing computer vision techniques for autonomous vehicle control systems. See the AUTHORS file for a complete list of developers.