Git Product home page Git Product logo

spaceforks / ntl-asteroid-data-hunter Goto Github PK

View Code? Open in Web Editor NEW

This project forked from planetaryresources/ntl-asteroid-data-hunter

0.0 1.0 0.0 686.44 MB

NASA's Asteroid Data Hunter challenge tasked competitors to develop significantly improved algorithms to identify asteroids in images from ground-based telescopes. This winning solution increased the detection sensitivity, minimize the number of false positives, ignore imperfections in the data, and run effectively on all computers.

License: Apache License 2.0

C++ 27.48% Mathematica 22.70% TeX 0.44% CMake 0.04% Shell 13.03% Groff 15.78% Makefile 0.01% Java 12.09% CSS 0.66% JavaScript 4.09% C 3.66% HTML 0.03%

ntl-asteroid-data-hunter's Introduction

NASA'S ASTEROID DATA HUNTER APP

ABOUT THE APP Using the latest developments in machine learning algorithms, we have developed an algorithm that is capable of utilizing imagery data from modern telescopes to find more asteroids than has previously ever been possible. This new method is approximately 15% better than the current method of identifying asteroids in the main belt (Asteroids that orbit between Mars & Jupiter). The algorithm is capable of running on a common laptop/desktop. Algorithms like these will be used on future spacecraft to identify asteroids to maximize the capability of missions in the future.The application contains a user interface that anyone can use without too much of a learning curve for new users. It’s also easy to install and comes with a one-click installation process (no configuration necessary!). For the expert user, full documentation and source code are available for modifications and tweaking.

DOWNLOAD THE APP The app is currently available for download for Windows (7.1+), Mac (10.10.X+) & Linux (Ubuntu) users. To download the app installers, please visit: http://www.topcoder.com/asteroids/asteroiddatahunter/

WHO SHOULD DOWNLOAD THE APP? Currently, the app is targeted towards hobbyist and amateur astronomers who have their own telescopes.

DOES THE APP INCLUDE SAMPLE IMAGES TO SEARCH AGAINST? The app does not come pre-bundled with test images, or the ability to download sample images – if you have access to a telescope and can take photos of the sky, you can upload these photos as long as they are in .FITS format. To view a sample set of test images, or to view the .FITS file format example, please click here to download the sample images.

HOW DO I GET STARTED?

  1. Download the User Guide, and learn how to install, launch and upload images into the app
  2. Download sample images that you can use within the app for to test how it works.
  3. Download an installer to help install the app on your computer. Click here to download the app: http://www.topcoder.com/asteroids/asteroiddatahunter/

WHAT DO I DO IF I HAVE ANY QUESTIONS OR FIND BUGS? Please log a ticket using GitHub issue tracking. To log a defect or question, please click here: https://github.com/nasa/NTL-Asteroid-Data-Hunter/issues

OPENSOURCE CODE The app falls under an Apache license, and is open source – so please feel free to download the source code, tinker and modify the app or algorithm as you see fit.

Thanks! -The NASA Tournament Lab

ntl-asteroid-data-hunter's People

Contributors

nasarader avatar pizza-and-dog avatar

Watchers

James Cloos avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.