[CSEE Talk] talk: Image Registration for Multisource Remote Sensing, 3pm Thr 4/3, ITE456, UMBC

[Tim Finin]

         Center for Hybrid Multicore Productivity Research
        Distinguished Computational Science Lecture Series

         Image Registration for Multisource Remote Sensing

                     Dr. Jacqueline Le Moigne
                 NASA Goddard Space Flight Center
             Software Engineering Division – Code 580

           3:00pm Thursday, 3 April 2014, ITE 456, UMBC

Satellite remote sensing systems provide large amounts of global
coverage and repetitive measurements representing simultaneous or
multi-temporal observations of the same features by different
sensors; for example over the last 40 years, Landsat satellites
have been acquiring more than three million images representing
about one petabyte of data. Furthermore, most sensors are carried
on separate platforms, resulting in a tremendous amount of data
that must be combined. In meeting some of the Earth System
Science objectives, the combination of all these data at various
resolutions -- spatial, radiometric and temporal -- will
facilitate a better understanding of Earth and space science
phenomena, and image registration enables the first step towards
this integration.

In this talk, we will describe the image registration challenge
in the context of Earth and space remote sensing.  Then, we will
review a subset of the methods that are being utilized to tackle
this challenge, and finally we will describe some of our work
that utilizes multiscale representations, in particular wavelets
and over-complete representations, as well as more recent work
dealing with the registration of Martian data based on crater
extraction and matching.

Dr. Le Moigne is the Assistant Chief for Technology in the
Software Engineering Division at NASA Goddard, and was Goddard
Center Associate for ESTO/Advanced Information Systems Technology
Program, from 2009 to 2012. Dr. Le Moigne received a B.S. and a
M.S. in Mathematics, and a Ph.D. in Computer Science from the
University Pierre and Marie Curie, France. While her Ph.D. thesis
dealt with biomedical imagery, her post-doctoral work at the UMD
Computer Vision Lab focused on the development of a visual
navigation system for the first DARPA Autonomous Land Vehicle
project. At NASA Goddard since 1990, Dr. Le Moigne has performed
extensive work in the processing and the analysis of remote
sensing data. Her work particularly focuses on image
registration, utilizing multiscale representations as well as
high-performance and on-board processing.  More recent work dealt
with creating web-based access to benchmark data for Image
Processing education and research (imageseer.nasa.gov). Currently,
Dr. Le Moigne is the PI of a Goddard Internal project focused on
Distributed Spacecraft Missions. She has published over 120
publications, including 23 journal papers, holds one patent, and
has co-edited a book on "Image Registration for Remote Sensing"
published by Cambridge University Press in 2011. She is a NASA
Goddard Senior Fellow, an IEEE Senior Member and an ABET Program
Evaluator.  She was a NATO Science for Peace and Security
Committee Panel Member from 2008 to 2011. In 2012, she received
the NASA Exceptional Service Medal and the Goddard Information
Science and Technology Award.

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