Dr. Shen-En Qian
at Canadian Space Agency
SPIE Involvement:
Editorial Board Member: Journal of Applied Remote Sensing | Author | Editor
Area of Expertise:
Spacecraft optical payloads , Onboard satellite near lossless data compression , Remote sensing , Hyperspectral image processing , Development of international standards for satellite data systems , Optical satellite signal processing
Websites:
Profile Summary

Dr. Shen-En Qian received his PhD in 1990. He is a top government scientist and technical authority at the Canadian Space Agency for last 30 years. He provides leadership to industry and academia in advancing Canadian space programs. He is an internationally recognized expert in optical spacecraft payloads, space technologies for satellite missions and deep space exploration, remote sensing, satellite image processing and enhancement, onboard satellite data compression and data handling. Together with CCSDS members from NASA and other space agencies, he developed three international standards for spaceflight data systems. These standards have benefited over fifty space missions.

Dr. Qian holds 35 patents granted worldwide developed in Canadian government laboratory. He is the sole author of 3 books on optical satellites and signal processing: 1-Hyperspectral Satellites and System Design, 2-Optical Satellite Signal Processing and Enhancement, 3-Optical Satellite Data Compression and Implementation, and an author of chapters in 6 other books. With 200 rocket scientists at national space agencies (NASA, ESA, CSA, DLR, etc.) and PIs at leading universities, he edited and published a must-have handbook “Optical Payloads for Space Missions”. He has published over 130 scientific papers.

Dr. Qian is a fellow of the Canadian Academy of Engineering, a fellow of the International Society of Optics and Photonics (SPIE), and a Senior Member of IEEE. The Governor General of Canada presented him the prestigious Canadian national award “Public Service Awards of Excellence" in 2016. He received IEEE Canada Outstanding Engineer Award and Silver Medal in 2019, IEEE Montreal Section Gold Medal in 2022. He received the Canadian Government Invention Award, and Marie Curie Award issued by the European Union. He is an Associate Editor of SPIE’s Journal of Applied Remote Sensing and IEEE’s Journal on Miniaturization for Air and Space System. He is an adjunct professor at York University.
Publications (25)

Proceedings Article | 20 November 2024 Paper
Proceedings Volume 13193, 1319309 (2024) https://doi.org/10.1117/12.3030957
KEYWORDS: Equipment, Balloons, Calibration, Fourier transforms, Prototyping, Interferometers, Data acquisition, Cameras, Spectroscopy

SPIE Journal Paper | 9 September 2021 Open Access
JARS, Vol. 15, Issue 03, 032201, (September 2021) https://doi.org/10.1117/12.10.1117/1.JRS.15.032201
KEYWORDS: Hyperspectral imaging, Remote sensing, Image fusion, Spectrometer engineering, Image classification, Atmospheric modeling, Lithium, Data processing, Data modeling, Sensors

SPIE Journal Paper | 3 August 2021
Guang Chen, Wenfang Xie, Shen-En Qian
JARS, Vol. 15, Issue 03, 032208, (August 2021) https://doi.org/10.1117/12.10.1117/1.JRS.15.032208
KEYWORDS: Denoising, Principal component analysis, Signal to noise ratio, Hyperspectral imaging, Video, Wavelets, 3D image processing, Remote sensing, Image filtering, Visualization

SPIE Journal Paper | 5 April 2021
JARS, Vol. 15, Issue 03, 032202, (April 2021) https://doi.org/10.1117/12.10.1117/1.JRS.15.032202
KEYWORDS: Principal component analysis, Convolution, Image classification, Hyperspectral imaging, Composites, Remote sensing, MATLAB, Feature extraction, Wavelets, Sun

SPIE Press Book | 13 November 2013
KEYWORDS: Homeland security, Image compression, Data compression, Image quality, Satellites, Image segmentation, Quantization, Computer programming, Hyperspectral imaging, Chromium, Image processing

SPIE Press Book | 8 November 2013
KEYWORDS: Hyperspectral imaging, Data compression, Image fusion, Sensors, Target detection, Satellites, Wavelets, Calibration, Image quality, Signal to noise ratio, Principal component analysis, Image compression

Proceedings Article | 19 October 2012 Paper
Shen-En Qian, Michael Maszkiewicz, Allan Hollinger, Eric Martin, Jean-Pierre Ardouin, Alexander Jouan
Proceedings Volume 8532, 853205 (2012) https://doi.org/10.1117/12.964294
KEYWORDS: Spectroscopy, Imaging systems, Mars, Sensors, Short wave infrared radiation, Distortion, Optical design, Beam splitters, Optics manufacturing, Hyperspectral imaging

Proceedings Article | 19 October 2012 Paper
Proceedings Volume 8514, 851407 (2012) https://doi.org/10.1117/12.931470
KEYWORDS: Spatial resolution, Image enhancement, Visualization, Resolution enhancement technologies, Image quality, Image resolution, Image processing, Statistical analysis, Quality measurement, Hyperspectral imaging

Proceedings Article | 17 September 2011 Paper
Proceedings Volume 8157, 815707 (2011) https://doi.org/10.1117/12.892424
KEYWORDS: Distance measurement, Principal component analysis, Evolutionary algorithms, Roads, Minerals, Hyperspectral imaging, Signal to noise ratio, Reconstruction algorithms, Algorithm development, Data modeling

Proceedings Article | 17 September 2011 Paper
Riadh Ksantini, Shen-en Qian, Martin Bergeron
Proceedings Volume 8157, 81570R (2011) https://doi.org/10.1117/12.894176
KEYWORDS: Mirrors, Meteorology, Scanners, Satellites, Data communications, Space operations, Space mirrors, Argon, Data modeling, Image quality

SPIE Journal Paper | 1 October 2010
JARS, Vol. 4, Issue 01, 041797, (October 2010) https://doi.org/10.1117/12.10.1117/1.3515313
KEYWORDS: Image compression, Data compression, Sensors, Data conversion, Satellites, Remote sensing, Field programmable gate arrays, Distortion, Prototyping, Signal to noise ratio

Proceedings Article | 24 August 2010 Paper
Proceedings Volume 7810, 78100F (2010) https://doi.org/10.1117/12.861564
KEYWORDS: Spatial resolution, Visualization, Image fusion, Resolution enhancement technologies, Image resolution, Image enhancement, Hyperspectral imaging, Image quality, Super resolution, Transform theory

Proceedings Article | 28 September 2009 Paper
Proceedings Volume 7477, 74770O (2009) https://doi.org/10.1117/12.830094
KEYWORDS: Image compression, Hyperspectral imaging, Multispectral imaging, JPEG2000, Standards development, Quantization, Sensors, Data acquisition, Data compression, MODIS

Proceedings Article | 31 August 2009 Paper
Proceedings Volume 7455, 74550W (2009) https://doi.org/10.1117/12.826412
KEYWORDS: Denoising, Target detection, Chemical mechanical planarization, Hyperspectral imaging, Silicon, Target recognition, Detection and tracking algorithms, Signal to noise ratio, Image processing, Hyperspectral target detection

SPIE Journal Paper | 1 February 2009
OE, Vol. 48, Issue 02, 026401, (February 2009) https://doi.org/10.1117/12.10.1117/1.3077179
KEYWORDS: Target detection, Denoising, Hyperspectral target detection, Hyperspectral imaging, Signal to noise ratio, Optical engineering, Remote sensing, Detection and tracking algorithms, Imaging systems, Sensors

Proceedings Article | 5 September 2008 Paper
Pirouz Zarrinkhat, Shen-En Qian
Proceedings Volume 7084, 708407 (2008) https://doi.org/10.1117/12.798499
KEYWORDS: Forward error correction, Computer programming, Signal to noise ratio, Data compression, Satellites, Error control coding, Quantization, Receivers, Binary data, Algorithm development

Proceedings Article | 19 September 2007 Paper
Proceedings Volume 6683, 668304 (2007) https://doi.org/10.1117/12.740633
KEYWORDS: Data compression, Image compression, Satellites, Hyperspectral imaging, Quantization, Remote sensing, Satellite imaging, Field programmable gate arrays, Signal to noise ratio, Sensors

SPIE Journal Paper | 1 March 2007
JARS, Vol. 1, Issue 01, 013509, (March 2007) https://doi.org/10.1117/12.10.1117/1.2723663
KEYWORDS: Principal component analysis, Image processing, Hyperspectral imaging, Minerals, Remote sensing, Wavelet transforms, Independent component analysis, Wavelets, Algorithm development, Imaging systems

Proceedings Article | 3 October 2006 Paper
Shen-En Qian, Hisham Othman, Josée Lévesque
Proceedings Volume 6361, 63611H (2006) https://doi.org/10.1117/12.689113
KEYWORDS: Signal to noise ratio, Target detection, Hyperspectral target detection, Hyperspectral imaging, Data acquisition, Remote sensing, Spatial resolution, Satellites, Denoising, Target acquisition

Proceedings Article | 18 August 2005 Paper
Proceedings Volume 5889, 588902 (2005) https://doi.org/10.1117/12.613195
KEYWORDS: Sensors, Detector arrays, Data compression, Signal to noise ratio, Remote sensing, Hyperspectral imaging, Target detection, Satellites, Data storage, Error analysis

Proceedings Article | 17 January 2002 Paper
Proceedings Volume 4480, (2002) https://doi.org/10.1117/12.453366
KEYWORDS: Minerals, Hyperspectral imaging, Signal to noise ratio, Sensors, Image compression, Detection and tracking algorithms, Mining, Algorithm development, Image storage, Image transmission

SPIE Journal Paper | 1 November 1996
Shen-en Qian, Allan Hollinger, Daniel Williams, Davinder Manak
OE, Vol. 35, Issue 11, (November 1996) https://doi.org/10.1117/12.10.1117/1.601062
KEYWORDS: Binary data, Data compression, Image compression, 3D image processing, Hyperspectral imaging, Quantization, Distortion, Image segmentation, Spectrometers, Optical engineering

Proceedings Article | 19 May 1992 Paper
Shen-en Qian, Ruqin Wang, Shuqiu Li, Yisong Dai
Proceedings Volume 1657, (1992) https://doi.org/10.1117/12.58324
KEYWORDS: Ions, Data compression, Spectroscopy, Image processing, Data storage, Aluminum, Clocks, Information theory, Independent component analysis, Imaging systems

Proceedings Article | 1 July 1991 Paper
Shen-en Qian, Ruqin Wang, Shuqiu Li, Yisong Dai
Proceedings Volume 1483, (1991) https://doi.org/10.1117/12.45742
KEYWORDS: Computing systems, Data compression, Data modeling, Printing, Data storage, Human-machine interfaces, Clocks, Signal processing, Image processing, Imaging systems

Proceedings Article | 1 June 1990 Paper
Proceedings Volume 1244, (1990) https://doi.org/10.1117/12.19521
KEYWORDS: Data compression, Image processing, Spectroscopy, Absorption, Error analysis, Image compression, Sensors, Data acquisition, Imaging systems, Imaging spectroscopy

Showing 5 of 25 publications
Proceedings Volume Editor (6)

SPIE Conference Volume | 10 October 2013

SPIE Conference Volume | 16 October 2012

SPIE Conference Volume | 16 September 2011

SPIE Conference Volume | 12 August 2010

SPIE Conference Volume | 28 August 2009

SPIE Conference Volume | 28 August 2008

Showing 5 of 6 publications
Conference Committee Involvement (17)
High-Performance Computing in Geoscience and Remote Sensing
13 September 2018 | Berlin, Germany
High-Performance Computing in Geoscience and Remote Sensing
12 September 2017 | Warsaw, Poland
Remotely Sensed Data Compression, Communications, and Processing XII
20 April 2016 | Baltimore, MD, United States
High-Performance Computing in Remote Sensing
21 September 2015 | Toulouse, France
Satellite Data Compression, Communications, and Processing XI
23 April 2015 | Baltimore, MD, United States
High-Performance Computing in Remote Sensing
22 September 2014 | Amsterdam, Netherlands
Satellite Data Compression, Communications, and Processing X
8 May 2014 | Baltimore, MD, United States
High-Performance Computing in Remote Sensing III
25 September 2013 | Dresden, Germany
Satellite Data Compression, Communications, and Processing IX
26 August 2013 | San Diego, California, United States
High-Performance Computing in Remote Sensing
26 September 2012 | Edinburgh, United Kingdom
Satellite Data Compression, Communications, and Processing VIII
12 August 2012 | San Diego, California, United States
High-Performance Computing in Remote Sensing
19 September 2011 | Prague, Czech Republic
Satellite Data Compression, Communications, and Processing VII
23 August 2011 | San Diego, California, United States
Satellite Data Compression, Communications, and Processing VI
3 August 2010 | San Diego, California, United States
Satellite Data Compression, Communication, and Processing V
4 August 2009 | San Diego, California, United States
Satellite Data Compression, Communication, and Processing IV
10 August 2008 | San Diego, California, United States
Satellite Data Compression, Communications, and Archiving
31 July 2005 | San Diego, California, United States
Showing 5 of 17 Conference Committees
Course Instructor
NON-SPIE: Satellite Image Compression, Dimensionality Reduction and Quality Metrics
The course introduces a number of innovative onboard satellite data compression technologies developed at the Canadian Space Agency for overcoming technical challenges in the development of Canadian space missions.
NON-SPIE: Innovative Space Technology Development at Canadian Space Agency
The course introduces cutting-edge technologies to enhance satellite sensors’ performance, near-lossless satellite data compression techniques, novel nonlinear dimensionality-reduction techniques.
NON-SPIE: Enhancing Optical Satellite Sensor Performance using Signal Processing Approaches
The course introduces a number of innovative signal processing based technologies developed at CSA for improving satellite sensors’ SNR and for increasing spatial resolution by exploiting the sensor’s intrinsic characteristics.
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