DocumentCode :
26542
Title :
Cloud Implementation of a Full Hyperspectral Unmixing Chain Within the NASA Web Coverage Processing Service for EO-1
Author :
Cappelaere, Patrice ; Sanchez, Santiago ; Bernabe, S. ; Scuri, A. ; Mandl, Daniel ; Plaza, Antonio
Author_Institution :
Vightel Corp., Ellicott City, MD, USA
Volume :
6
Issue :
2
fYear :
2013
fDate :
Apr-13
Firstpage :
408
Lastpage :
418
Abstract :
The launch of the NASA Earth Observing 1 (EO-1) platform in November 2000 marked the establishment of spaceborne hyperspectral technology for land imaging. The Hyperion sensor onboard EO-1 operates in the 0.4-2.5 micrometer spectral range, with 10 nanometer spectral resolution and 30-meter spatial resolution. Spectral unmixing has been one of the most successful approaches to analyze Hyperion data since its launch. It estimates the abundance of spectrally pure constituents (endmembers) in each observation collected by the sensor. Due to the high spectral dimensionality of Hyperion data, unmixing is a very time-consuming operation. In this paper, we develop a cloud implementation of a full hyperspectral unmixing chain made up of the following steps: 1) dimensionality reduction; 2) automatic endmember identification; and 3) fully constrained abundance estimation. The unmixing chain will be available online within the Web Coverage Processing Service (WCPS), an image processing framework that can run on the cloud, as part of the NASA SensorWeb suite of web services. The proposed implementation has been demonstrated using the EO-1 Hyperion imagery. Our experimental results with a hyperspectral scene collected over the Okavango Basin in Botswana suggest the (present and future) potential of spectral unmixing for improved exploitation of spaceborne hyperspectral data. The integration of the unmixing chain in the WCPS framework as part of the NASA SensorWeb suite of web services is just the start of an international collaboration in which many more processing algorithms will be made available to the community through this service. This paper is not so much focused on the theory and results of unmixing (widely demonstrated in other contributions) but about the process and added value of the proposed contribution for ground processing on the cloud and onboard migration of those algorithms to support the generation of low-latency products for new airborne/spaceborne missions.
Keywords :
geophysical techniques; geophysics computing; hyperspectral imaging; AD 2000 11; Botswana; EO-1 Hyperion imagery; Hyperion data; Hyperion sensor; NASA Earth Observing platform; NASA SensorWeb suite; NASA web coverage processing service; Okavango Basin; WCPS framework; Web Coverage Processing Service; airborne mission; automatic endmember identification; dimensionality reduction; full hyperspectral unmixing chain; fully constrained abundance estimation; high spectral dimensionality; image processing framework; land imaging; space-borne hyperspectral data; space-borne hyperspectral technology; spaceborne mission; spectral unmixing; Earth Observing One (EO-1); NASA SensorWeb; Web Coverage Processing Service (WCPS); hyperion; hyperspectral imaging; spectral unmixing;
fLanguage :
English
Journal_Title :
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher :
ieee
ISSN :
1939-1404
Type :
jour
DOI :
10.1109/JSTARS.2013.2250256
Filename :
6504544
Link To Document :
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