Title :
Using Onboard Clustering to Summarize Remotely Sensed Imagery
Author :
Hayden, David S. ; Chien, Steve ; Thompson, David R. ; Castano, Rebecca
Author_Institution :
Jet Propulsion Lab., Pasadena, CA, USA
Abstract :
Many current and future NASA missions are capable of collecting enormous amounts of data, of which only a small portion can be transmitted to Earth. Communications are limited due to distance, visibility constraints, and competing mission downlinks. Long missions and high resolution, multispectral imaging devices easily produce data exceeding the available bandwidth. As an example, the HiRISE camera aboard the Mars Reconnaissance Orbiter produces images of up to 16.4 Gbits in data volume but downlink bandwidth is limited to 6 Mbits per second (Mbps).
Keywords :
aerospace computing; image processing; military computing; pattern clustering; HiRISE camera; NASA missions; data exceeding; mars reconnaissance orbiter; mission downlinks; multispectral imaging; onboard clustering; remotely sensed imagery; visibility constraints; Aerospace electronics; Bit rate; Clouds; Clustering algorithms; Downlink; Laboratories; Moon; Propulsion; Satellites; Solar system; Jet Propulsion Laboratory; NASA; autonomous image classification; image clustering; intelligent systems;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2010.90
