International Symposium on Spectral Sensing Research (ISSSR 99)
Las Vegas, Nevada
Tropicana Resort and Casino
October 31 * November 4, 1999

ISSSR Preliminary Call for Papers


Intent to propose:  Submittals due 16 February 1999.  Paper title and
two-sentence description.

Extended abstracts:  Submittals due 1 May 1999.  Notification of acceptance
1 June 1999.  Abstracts not to exceed 200 words.


Respond To for Additional Information:   

                         Ms. Connie Gray, Program Chair
                         E-mail:   gray@svl.tec.army.mil
                         Phone:   (703) 428- 6735
                         Fax:        (703) 428-8176

Symposium Summary:

The 1999 International Symposium on Spectral Sensing Research (ISSSR 99)
will provide an international forum for discussion of scientific
requirements, implementation issues, analysis problems, and scientific
benefits of spectral sensing research.

The advent of the 21st Century is bringing new challenges and opportunities:
 sensor development, acquisition, processing, and application of remotely
sensed data, data storage and retrieval, and data continuity are a small
foretaste.  New satellites with hyperspectral instruments will be providing
data at rates barely imagined when ERTS-1 began orbiting in July 1972.  Data
management and processing issues will be marching in lock step with advances
in computing power and new computational approaches.

In this, the fifth ISSSR, our goal is to examine the new frontiers being
opened by these technologies; explore how to use the technology more
successfully in solving existing problems; and investigate the opportunities
for new applications.

Contributed papers are sought for platform or poster presentation.  Each
author should submit an UNCLASSIFIED abstract of 250 words maximum. 
Speakers are strongly encouraged to submit abstracts for papers in the
following topic areas:

   
    *  Sensors
    *  Hyperspectral Satellites
    *  Atmospheric Modeling
    *  Littoral Applications
    *  Terrestrial Applications
    *  Modeling and Simulation
    *  Natural Disaster Applications
    *  Environmental Applications
    *  Synthetic Data Sets and Calibration Issues
    *  Large Data Sets and Fusion of Data from Multiple Sensors

Proposals for alternate topics may also be submitted for consideration.