DocumentCode
2334830
Title
Efficient spectral endmember detection onboard the EO-1 spacecraft
Author
Bornstein, Ben ; Thompson, David R. ; Tran, Daniel ; Bue, Brian ; Chien, Steve ; Castaño, Rebecca
Author_Institution
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
fYear
2011
fDate
6-9 June 2011
Firstpage
1
Lastpage
4
Abstract
Spaceflight and planetary exploration place severe constraints on the available bandwidth for downlinking large hyperspectral images. In addition, communications with spacecraft often occur intermittently, so mission-relevant hyperspectral data must wait for analysis on the ground before it can inform spacecraft activity planning. Onboard endmember detection can help alleviate these problems. It enables novelty detection and target identification for scheduling followup activities such as additional observation by narrow field of view instruments. Additionally, endmember analysis can facilitate data summary for downlink. This work describes a planned experiment of selective downlink by the EO-1 autonomous spacecraft. Here an efficient superpixel endmember detection algorithm keeps to the limited computational constraints of the flight processor. Tests suggest the procedure could enable significant improvements in downlink efficiency.
Keywords
geophysical image processing; object detection; space vehicles; spectral analysis; EO-1 autonomous spacecraft; downlink; flight processor; hyperspectral data analysis; hyperspectral images; planetary exploration; space flight; spacecraft activity planning; spectral endmember detection; Data analysis; Downlink; Hyperspectral imaging; Image segmentation; Software; Space vehicles; End-member Detection; Hyperspectral Unmixing Applications; Spaceflight;
fLanguage
English
Publisher
ieee
Conference_Titel
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2011 3rd Workshop on
Conference_Location
Lisbon
ISSN
2158-6268
Print_ISBN
978-1-4577-2202-8
Type
conf
DOI
10.1109/WHISPERS.2011.6080886
Filename
6080886
Link To Document