The invention provides the capability for interactive visualization and analysis of hyperspectral images in a compressed form, over a wide-area network. It allows processing of the compressed data and viewing of the data without expanding the compressed data into the complete hyperspectral datacube.
This Hyperspectral Image Browser provides a tool for fast and remote browsing of hyperspectral datacubes. It uses vector quantization (VQ) technology to compress hyperspectral datacubes and then applies algorithms to extract the information directly from the compressed data. This results in significantly faster data processing and transmission. The system was developed to interactively visualize and analyse large hyperspectral datacubes using a personal computer remotely via the Internet. The VQ data compression is used to substantially reduce the amount of data sent across the network. Application algorithms are applied to the compressed data form directly in order to extract the information required by the user in both full spatial and spectral domains.
In one application, this Hyperspectral Image Browser provides the user with the capability to determine the usefulness of a hyperspectral data set through a wide-area network before investing in the original hyperspectral datacube. Datacubes viewed with this system are compressed with a lossy algorithm at a compression ratio of tens to a hundred, and there is therefore some degradation in fidelity (usually less than 5% error) with respect to the original datacubes. This results in savings of over ten times the required time to visualize and analyse hyperspectral datacubes as part of an initial review and selection process.
The datacubes are stored and processed in compressed form, so that the system provides users with the ability to evaluate a large selection of imaging spectrometry datacubes. For example, the system can provide the data for an entire data collection campaign, consisting of hundreds of individual datacubes.
The Business Opportunity
The technology is available for licensing. The invention provides a means to rapidly select hyperspectral datacubes that may be of interest for a particular application (e.g., in agriculture, mining and forestry) out of a large collection of stored hyperspectral images. The technology will interest companies and other organizations that operate archives of hyperspectral datacubes and provide a service to end-users by making these datacubes available through a commercial or other supply arrangement.
The technology will also be of interest to companies and R&D organizations that are developing hyperspectral monitoring and analysis systems for inspection and process control.
Technology Transfer Details
This technology is available for licensing.
The business opportunity may be referred to by its CSA case number: 50344
- Qian, S.-E., A. Hollinger, M. Dutkiewicz, H. Tsang and H. Zwick, "A Tool for Hyperspectral Image Data Distribution by e-Commerce," 14th International Conference and Workshop on Applied Geologic Remote Sensing, Las Vegas, Nevada, USA, November 2000.
- Dutkiewicz, M., H. Tsang, H. Zwick, B. Robertson, S.-E. Qian and A. Hollinger, "Web-Based Hyperspectral Image Analysis," Proceedings of 2001 American Society for Photogrammetry and Remote Sensing Annual Convention, St. Louis, Missouri, USA, April 2001.
- Number: 2,253,145
- Status: Issued Patent
- Source: Canadian Intellectual Property Office (CIPO)
- Number: 6,546,146
- Status: Issued Patent
- Source: United States Patent and Trademark Office (USPTO)
Role at the Canadian Space Agency
- He joined CSA in 1994.
- Manager of Optical Sensors Group in the Engineering Development Directorate of the Space Science & Technology Branch at the Canadian Space Agency (CSA).
- Ph.D. degree in Physics from University of Toronto in 1977.
- Expert in the areas of optical space mission, optical sensors and their systems, electro-optical instrumentation for remote sensing from space, from airborne platforms and for in-situ purposes.
- He is currently the technical lead of the Meteorological Payload for the Polar Communications and Weather (PCW) mission.
- He initiated the Hyperspectral Environment and Resource Observer mission and was the deputy program manager and technical lead in the Phase-A development of the mission.
- He was involved in the development of techniques for on-board compression of data from imaging spectrometers
- He has contributed to many space missions, such as :
- Near Earth Object Surveillance Satellite (NEOSSAT),
- Measurements of Pollution in the Troposphere (MOPITT)
- Organized Research Information System (OSIRIS)
- Acted as scientific authority on numerous instrument development studies while at CSA.
- He was a co-Investigator on Evaluation and Validation of EO-1 for Sustainable Development of National Forests (EVEOSD) and Evaluation and Validation of CHRIS for National Forests (EVC) on the Boreal Ecosystem-Atmosphere Study (BOREAS) programs.
- He was Manager of the Electro-Optics Laboratory of the Institute for Space and Terrestrial Science (1988 – 1993) where he and his colleagues developed protocols for the precision radiometric calibration of remote sensing instrumentation.
- From 1979 - 1988, Dr. Hollinger, worked for Moniteq Ltd where he was part of the team that developed and operated the one of the first airborne imaging spectrometers, the Fluorescence Line Imager.
- He shared the Government Invention Award in 2004.
Role at the Canadian Space Agency
- He joined CSA in 1995.
- Senior Scientist in the Engineering Development Directorate of the Space Science & Technology Branch at the Canadian Space Agency (CSA).
- Scientific authority of Canadian government contracts in the areas of space technology development and satellite missions.
- Head of an intramural research and development team.
- Received the Ph.D. degree in telecommunication and electronic systems in Jilin University, Changchun (China) (1990).
- Post-doctorate Fellow at the Centre national de la recherche scientifique (CNRS) in Paris (France) (1992).
- Post-doctorate Fellow at the Canadian Space Agency in Saint-Hubert (1994).
- Expert in the areas of optical spacecraft payload, satellite data and image enhancing, processing and analysis, on-board data handling, space data systems, and Earth observation applications.
- He assisted to initiate the Canadian Hyperspectral Environment and Resource Observer mission and led the critical technology development of the mission.
- He developed near-lossless data compression techniques for processing on board satellites and overcome the challenge of the huge data volume generated by hyperspectral satellites. He led Canadian industry team that fabricated an on-board compression system. He is the inventor of 6 granted patents in this area.
- He is the scientific authority of over 30 Canadian government contracts in the development of space technologies and satellite missions for a total funding $10 millions.
- He heads an in-house research and development team in the development of space technology and spaceborne electro-optical instruments and their applications for remote sensing. He published 80 scientific papers since joining the CSA.
- He contributed to two international standards for space data systems.
- He was a professor with Université du Québec, Canada; a European research chair with the Centre National de la Researche Scienfique (CNRS), Paris, France; and a professor with the Changchun Institute of Optics & Fine Mechanics, Chinese Academy of Sciences.
- Dr. Qian received the Marie Curie Award in 1992.
- He was twice the recipient of the CSA Director Award in 1999 and 2002.
- He received the Government Invention Award in 2004.