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Shen-En, Qian

Dr. Shen-En  Qian

Senior Research Scientist
Canadian Space Agency


6767, Route de l'Aéroport

Longueuil (St-Hubert) QC J3Y 8Y9
Canada

tel: (450) 926-4618
fax: (450) 926-4575
E-mail: shen-en.qian@asc-csa.gc.ca
Web: www.asc-csa.gc.ca

Area of Expertise

Optical spacecraft payloads, space technologies for satellite missions and space exploration, optical remote sensing, on-board satellite data compression, handling and processing, space data and information systems, satellite sensor data/image processing and analysis, and project management.

Biography

S.-E. Qian received the Ph.D. degree in telecommunication and electronic systems in 1990. He is currently a senior research scientist with the Canadian Space Agency. He is the Scientific Authority of Canadian government contracts in the development of space technologies and satellite missions. He leads Canadian industry teams in the development of mission concepts and technologies for future missions. He heads an in-house R&D team in the development of space technologies and spaceborne electro-optical instruments and their applications for Earth observation. He holds 10 patents and published over 100 scientific papers, which brought him international recognition as an expert in optical spacecraft payloads and space technologies for satellite missions and space exploration, optical remote sensing, on-board satellite data compression, handling and processing, space data and information systems, satellite sensor data/image processing and analysis, and project management. He has been co-chair of the SPIE conference 'Satellite Data Compression, Communications, and Processing' since 2005.

Lecture Title(s)

Data Compression for Satellite Missions at Canadian Space Agency: This presentation reviews and summarizes the researches and developments in the last decade on near lossless data compression techniques for satellite missions at the Canadian Space Agency (CSA) in collaboration with its partners in other government departments, academia and Canadian industry. After brief description of hyperspectral sensors, their applications in Earth observation and their challenges to current satellite systems, the presentation shows CSA's R&D activities and accomplishments in lossless and near lossless data compression technologies for on-board processing. The CSA developed vector quantization (VQ) based near lossless data compression technologies are its unique contributions to the international community in the area and currently are under consideration for becoming an international standard for space data system. 

Rapid Prototype Activities for Optical Satellite Sensors at Canadian Space Agency: This presentation briefly reviews and summarizes the R&D activities at the Canadian Space Agency (CSA) within its rapid prototype program in the last decade. It will focus on the R&D activities for spaceborne optical sensors and the related satellite missions in collaboration with its partners in other government departments, academia and Canadian industry. The review will cover mission definition study (Phase-A) of a Canadian hyperspectral satellite, on-board satellite near lossless compression technologies, enhancement of satellite sensor performance using numerical processing approach, and dimensionality reduction of multi-dimensional optical sensor data.

Increase Signal-to-Noise Ratio of Satellite Sensor Data using Numerical Processing Approach: Signal-to-noise ratio (SNR) is one of the key parameters in designing and building a satellite sensor. Satellite data users always prefer and/or require receiving data with high SNR in order to accurately obtain information and better serve their applications. Designing and building a satellite sensor with a considerably high SNR is one of the challenges, as this could be prohibitively expensive and/or constrained by technology availability. The CSA scientists developed a novel technology (patented) to increase SNR of satellite sensor data using numerical processing approach. This is a more cost-effective way to enhance/complement the performance of satellite sensors irrespective of sensor size. In the presentation, Dr. Qian, the lead scientist, will describe the technology, the effectiveness of the technology tested in CSA lab, and the assessment of the technology in collaborating with the satellite data user community using statistics based measures and Earth observation applications.

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