ASPRS 2014 Annual Conference & co-located JACIE Workshop

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ASPRS 2014 Annual Conference

 Geospatial Power in Our Pockets

& co-located JACIE Workshop
Joint Agency Commercial Imagery Evaluation (JACIE) Workshop

Louisville, Kentucky USA   *  March 23-28, 2014  *  The Galt House Hotel

Join the American Society for Photogrammetry and Remote Sensing(ASPRS) for the 2014 Annual Conference as we head to the home of the Kentucky Derby, the Louisville Slugger baseball bat and Southern Hospitality, Louisville, Kentucky, March 23 - 27, 2014!

This year we are excited to welcome the JACIE Workshop to co-locate in Louisville. The JACIE Workshop will be held March 26 - 28, 2014 at the Galt House Hotel and will be combining a general session and special technical sessions throughout the week with the ASPRS Conference. This is an exciting partnership for both organizations!


The intent of the JACIE workshop is to exchange information regarding the characterization and application of the commercial imagery used by the government. This workshop is focused on the synergy of high, medium and low resolution imagery and remote sensing technologies used by the Government. This workshop is sponsored by the Joint Agency Commercial Imagery Evaluation (JACIE) team, a collaborative group of representatives from the National Aeronautics and Space Administration (NASA), the National Oceanic and Atmospheric Administration (NOAA) the United States Department of Agriculture (USDA) and the United States Geological Survey (USGS).

Tell Me About ASPRS 2014

The conference theme: Power in Our Pockets, refers to the technological power of pocket sized devices in our world today. The conference will focus on the various tools, applications, software and overall abilities of technology in the geospatial industry today.

There are LOTS of changes happening for ASPRS conferences! Here are just a few you will see in 2014:

  •     JACIE Workshop co-location
  •     Unmanned Aerial Systems Showcase
  •     Recruitment Way Table Tops
  •     Increased Exhibitor/Attendee Face-time
  •     New session tracks for practical applications
  •     Redesigned conference programs
  •     Presenter abstracts available online

Who Attends?

More than 1,000 imaging and geospatial information professionals gather from across the nation and from around the globe for ASPRS Annual Conferences. And this year, we are expecting a record attendance with the co-location of the JACIE Workshop.

Attendees are mid- and upper-level imaging and geospatial managers from corporations, government agencies, consultants, educators, reseachers, students and field surveyors.


Louisville, Kentucky
Big City Service with Southern Hospitality!

Nestled on the banks of the Ohio River, Louisville, Kentucky has loads of small-town southern hospitality, a cosmopolitan riverfront district linked to the city’s park system, a diverse arts scene, downtown’s Museum Row on Main, and a nationally recognized foodie mecca.

Louisville, no matter how you pronounce's got something for everyone!

ASPRS and the JACIE Workshop will be holding meetings at the wonderful Galt House Hotel while in Louisville! Click here for more information about hotel accommodations.


T8-Mar 27 11:00

Mentoring through ASPRS: the beta program

Ryan Elizabeth Bowe, Photo Science, Inc.

Devin Kelley, Patrick Adda, and Hui Ju

Have you heard about one of the ASPRS Young Professional Councils initiative of Mentoring? Did you sign up to me a mentor or a mentee through blast e-mails? Maybe you saw an advertisement in PE&RS or did someone sell it to you during a division call? Join us for an interactive discussion of what all the fuss is about this beta-mentoring program.  A brief overview of the mechanics behind the program will start out the presentation.  We hope the bulk of the presentation will be live reactions from mentees about their experience. As a conclusion, we will solicit feedback from the audience on how to improve ASPRS YPCs mentoring.

T7-Mar 27 11:00


Automated Matching Techniques in ISIS for Planetary Photogrammetric Mapping

Raad Saleh, Astrogeology Science Center, U.S. Geological Survey

While significant successes have been achieved in automating production-viable photogrammetric systems for terrestrial applications, no similar successes can be claimed in the planetary domain.  This paper describes efforts to enhance matching capabilities in the Integrated Software for Imagers and Spectrometers, ISIS.  ISIS is the leading planetary image analysis toolset, developed and maintained by the Astrogeology Team of the USGS.  ISIS contains specific embedded routines and stand-alone functions for point matching, such as pointreg and coreg.  These functions are fundamental to production of high precision planetary cartographic products, such as those for Mars and the Moon.  The underlying matching technique commonly used in these ISIS functions is primarily the cross- correlation (CC) method.  Other available techniques, such as least squares method, frequency based, or MI, are not yet supported in any operational ISIS functions.  CC models the difference between the image patches as linear functions of the intensity values combined with two-dimensional integer shift.  This shift is typically one pixel at the search direction line, and once exhausted, the search moves to the next line in the search direction.  As it currently stands, matching in ISIS does not model for geometric and radiometric differences.  These differences affect success, efficiency and accuracy of matching; hence geometric rectification and radiometric filtering are applied to partially compensate for these differences.  The outcome requires substantial manual editing which is very costly to any planetary mapping project.  With the size and complexity of planetary image datasets increase, due to the number of different imaging systems, different illumination conditions, etc., the amount of manual editing required makes controlling these image datasets cost prohibitive.  The work aims at matching techniques for tiepoint and groundpoint measurement functions in support of high accuracy, high efficiency production of geodetically controlled planetary mapping deliverables. The resulting techniques will also have the potential to be modified to produce surface models from planetary stereo images, and extending the capabilities of existing tools to stereo topographic mapping as a logical follow-on to this work.

Measuring Mars sand flux seasonality from a time series of HiRISE images and calibration of the threshold for sand mobility

Francois Ayoub, Caltech

Jean-Philippe Avouac, Claire Newman, Mark Richardson, Antoine Lucas, Sebastien Leprince, and Nathan Bridges

The volumetric transport rate of sand, or flux, is a fundamental quantity that relates to the rate of landscape evolution through surface deposition and erosion. Measuring this quantity on Mars is particularly relevant as wind is the dominant geomorphic agent active at present on the planet. Measuring sand flux on Mars is now possible thanks to: 1) the availability of times series of high resolution satellite images (25cm gsd) acquired by the High Resolution Imaging Science Experiment (HiRISE), and 2) the precise image registration and correlation methods which permits the quantification of movement to sub-pixel precision. In this study, focused on the Nili Patera dune field, we measure the temporal variation of the migration rate of sand ripples from the orthorectification, precise co-registration, and dense correlation of a time-series of HiRISE images using COSI-Corr. The time-series covers approximately 1.5 Mars year which allows us to observe seasonal migration rate variability as well as taking an early glimpse on yearly variation. A Principal Component Analysis (PCA) was applied to the time-series to quantify more robustly the time evolution of the signal and filter out noise, in particular due to unrecorded satellite jitter. Using the first two components, which account for 84% of the variance, the seasonal variation of the ripple migration rate was estimated. We clearly observe continuously active migration throughout the year with a strong seasonal quasi-sinusoidal variation which peaks at perihelion. Ripple displacement orientation is stable in time, toward ~N115°E. The wind direction is thus relatively constant in this area, a finding consistent with the barchan morphology and orientation of the dunes.<br /> Coupling between surface winds and sand transport is a fundamental factor governing geological activity and climate on Mars. Saltation of sand is likely crucial for both erosion of the surface and for the emission of finer (dust) particles into the atmosphere. Analysis of the distinctive seasonal variation of sand flux with an atmospheric model is used to infer an effective threshold for sand motion. This is the first direct estimate of the stress threshold at Mars on spatial scales relevant for dynamical atmospheric modeling of sand transport, surface erosion, and dust lifting.

ESA ExoMars Rover PanCam: Pre-Launch Modeling and Accuracy Assessment

Steven Ostrowski, The Ohio State University, Department of Civil and Environmental Engineering and Geodetic Science, Center for Mapping and GIS Laboratory

Rongxing Li, Gerhard Paar, Andrew Coates, Jan-Peter Muller, Andrew Griffiths, and Jurgen Oberst

The purpose of this presentation is to report on results of field tests conducted for a research project designed to analyze the mapping and localization accuracy of the theoretical geometric model for the European Space Agency ExoMars Panoramic Camera. This field test gathered data from a 1km traverse performed along the Alum Creek Reservoir north of Columbus, Ohio. The chosen test site, with its loose sands, is similar to areas on the surface of Mars.  The field experiments 1km traverse consisted of multiple traverse segments around 50m in length. GPS data was collected for use as ground truth to assess the traverse localization accuracy. An extended camera model study had been performed previously to design the parameters of this field experiment on the long traverse, particularly in the use of the HRC (High Resolution Camera) with the WAC (Wide Angle Camera) data.  Improvements made to the experimental testing hardware system include a new camera mount for the two cameras in the stereo imaging system. This new camera mount has strengthened and enhanced the stereo camera baseline and stabilized the camera separation. In addition, our camera calibration technique has been revised for rapid field calibration to check if the camera parameters have changed from a first calibration conducted in a stable laboratory setting. This simulates implementation of the camera calibration process during ExoMars operations on the Martian surface.

Crater Topographic Mapping Based on Ground Images

Ron Li, The Ohio State University

Changlin Xiao and Rui Wu

The goal of this NASA Mars Data Analysis Program project is to develop high-precision crater topographic mapping methods to systematically map those Martian craters observed along the traverses of the two Mars Exploration Rover 2003 mission rovers. The Mapping and GIS Labora-tory at The Ohio State University has developed a set of effective methods to map the surface of Mars at a very high level of accuracy. Because of the steep slopes and large diameters of many of these craters, images from more than one imaging site are needed, and a ground image network must be constructed to link them together. Incremental and integrated bundle adjustment tech-niques are used to improve the coordination information of this imagery. The incremental BA is performed in a stepwise manner which means the previous (m-1) location is considered as fixed and used as a reference while only the current location (m)  is bundle adjusted. Integrated bundle adjustment is performed to update all of the initial values including the rover positions, camera parameters, and coordinates of the tie-points for all involved image positions. Selection of ap-propriate cross-site tie-points is the key to good bundle adjustment results. Over a short distance, the hard-baseline technique is used to select tie points. For long distances, the wide-baseline technique is employed. Hard-baseline mapping calculates 3-D coordinates using intra-stereo im-ages from one position. Wide-baseline mapping uses images from different sites to generate ste-reo pairs. The wide-baseline technique can eliminate the unreliability of coordinate calculation over long distances found with the hard-baseline method due to the limitations inherent with a short baseline and a narrow viewing angle. Subsequently, a Digital Terrain Model (DTM) is gen-erated using interest points selected automatically and manually. Lastly, other mapping products can be generated after the DTM such as contour maps and orthoimages.


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