题目：On-Orbit Estimation of Optical Remote Sensing Satellite Point Spread Function

Prof. Dennis Helder

南达科塔州立大学工程学院

主持人：濮国梁  副研究员

时  间：12月5日（周四）上午9:30

地  点：工学院1号楼210报告厅

Abstract：One of the most important performance measures for optical satellite remote sensing imagery is often termed Spatial Quality.  It is a measure

 of the amount of blurring present in the imaging system.  Several approaches for quantifying the amount of blurring have been proposed

 with perhaps the most common being the Point Spread Function or PSF.  The PSF is an intuitively simple measure where a point source of 

light is applied to an imaging system and the resulting image produces, by definition, the PSF for the system.  However, this is a very 

difficult measurement to make either in the laboratory before launch or after launch while the spacecraft is on orbit.  This presentation will 

show both the theory and practice of estimating PSF for satellite optical systems while on orbit.  Several methods are possible using a 

variety of target types and processing methodologies.  The advantages and disadvantages of these methods will be discussed with an 

emphasis on practical applications.

Bio: Dennis Helder received the B.S. and M.S. degrees in electrical engineering from South Dakota State University and the Ph.D. in 

engineering from North Dakota State University. He has been involved with radiometric calibration of the Landsat series of instruments

 since 1988. He founded the SDSU Image Processing Laboratory in 1991 and is the current director.  He has been involved with the

 Landsat 7 Science Team, the EO-1 Science Validation Team, and is currently a member of the Landsat Data Continuity Mission Science

 Team.  Helder is currently the Associate Dean for Research in the College of Engineering at South Dakota State University and

 Distinguished Professor of Electrical Engineering.

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