Detection, Tracking, and Identification of Asteroids through On-board Image Analysis

Metadata Updated: November 12, 2020

Near-Earth object identification and characterization via spacecraft currently relies on collecting a large number of images, downlinking all of the images to Earth, and then using image processing algorithms on the ground to analyze the data sets. This mission architecture requires large amounts of storage on the spacecraft, high downlink bandwidth, and introduces a long turnaround time for follow-up operations by the same spacecraft platform. This is untenable for platforms that operate under heavy constraints of mass, power, and storage as well as spacecraft in orbits with minimal communication opportunities. To facilitate these types of missions, we are developing terrestrial image analysis algorithms optimized for the spacecraft computing environment to autonomously identify and track near-Earth objects. We are applying these algorithms toward image training data from previous missions to acquire performance metrics, including how the algorithms scale to the reduced processing power of a spacecraft computer.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources


Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher Space Technology Mission Directorate
Unique Identifier Unknown
Identifier TECHPORT_91454
Data First Published 2016-03-01
Data Last Modified 2020-01-29
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Homepage URL
Program Code 026:027
Source Datajson Identifier True
Source Hash df3ec680ed471af8a478b38a1fbdf9e5de81e353
Source Schema Version 1.1

Didn't find what you're looking for? Suggest a dataset here.