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Hyperspectral Feature Detection Onboard the Earth Observing One Spacecraft using Superpixel Segmentation and Endmember ExtractionWe present a demonstration of onboard hyperspectral image processing with the potential to reduce mission downlink requirements. The system detects spectral endmembers and then uses them to map units of surface material. This summarizes the content of the scene, reveals spectral anomalies warranting fast response, and reduces data volume by two orders of magnitude. We have integrated this system into the Autonomous Science craft Experiment for operational use onboard the Earth Observing One (EO-1) Spacecraft. The system does not require prior knowledge about spectra of interest. We report on a series of trial overflights in which identical spacecraft commands are effective for autonomous spectral discovery and mapping for varied target features, scenes and imaging conditions.
Document ID
20130000018
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Thompson, David R.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Bornstein, Benjamin
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Bue, Brian D.
(Rice Univ. Houston, TX, United States)
Tran, Daniel Q.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Chien, Steve A.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Castano, Rebecca
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 27, 2013
Publication Date
September 30, 2012
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Meeting Information
Meeting: International Symposium on AI, Robotics and Automation in Space
Location: Turin
Country: Italy
Start Date: September 4, 2012
End Date: September 6, 2012
Distribution Limits
Public
Copyright
Other
Keywords
Superpixel Endmember Detection
imaging spectroscopy
EO-1
autonomous science

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