题目：On-Orbit Estimation of Optical Remote Sensing Satellite Point Spread Function
报告人：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：澳门太阳娱乐网站官网1号楼210房间
报告内容摘要：
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.
报告人简介：
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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