IEEE Geoscience and Remote Sensing Magazine - March 2013 - 57

Imagepedia/Education

Imagepedia Includes:
* Simple One-Page Tutorials
(E.g., Remote Sensing,
Image Processing, Edge
Detection, Etc.)
* Overview
Presentations and
Papers About Specific
Topics (E.g., Image
Registration, or Cloud
Detection)
* Information About the
Data Included in
IMAGESEER
* Data Holdings
* Data Provenance

FIGURE 13. IMAGESEER Web site-Imagepedia.

V. Conclusion
This paper has presented a first prototype of the IMAGESEER
database and website, focusing on bringing easy access to
NASA image and validation data in the context of Image
Processing research and education. Future releases will
include additional data, not only in Earth Science (e.g.,
with MODIS and SeaWIFS datasets and applications) but
also in Planetary Science where similar image processing
challenges have already been identified, namely crater
detection and counting, boulder detection and counting,
sensor to sensor registration and mosaicking, and mineralogy (equivalent to Earth Science classification). Additionally, other domain areas will be considered with
Exploration data and challenges such as obstacle and path
planning with data from the NASA Mars Exploration Rover
missions, as well as in Astronomy where image data present
specific challenges such as searching for moons or planetary bodies, as described in the Educational NASA Computational and Scientific Studies (enCOMPASS) website [22].
This latter represents a collection of NASA challenges and
future releases of IMAGESEER will include specific image
challenges described in the enCOMPASS website.
march 2013

ieee Geoscience and remote sensing magazine

Acknowledgment
The authors would like to thank James Irons, Jeff Masek
and Laura Rocchio from the Landsat Data Continuity Mission (LDCM) team, Dr. Ramapriyan Hampapuram (ESDIS
Assistant Project Manager), and Dan Mandl and Stu Frye
from the EO1 Team, for their help in choosing Earth Science applications and data, as well as Adrian Brown (SETI
Institute) for planning the use of future planetary data.
They would also like to acknowledge university professors
for insightful discussions in the design of IMAGESEER,
namely, Prof. Larry Davis (University of Maryland), Prof.
Roger Eastman (Loyola University Maryland) and Prof.
Amitabh Varshney (University of Maryland) for ideas on
the potential use of the IMAGESEER database in teaching
and researching Image Processing techniques.
author information
Jacqueline Le Moigne (M'92-SM'96) is the Assistant Chief for
Technology in the Software Engineering Division at NASA Goddard Space Flight Center. From 2009 to 2012, Dr. Le Moigne
was also Goddard Center Associate for the Earth Science Technology Office (ESTO) Advanced Information Systems Technology
57



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