Chinese Academy of Sciences, Institute of Automation
National Laboratory of Pattern Recognition/Sino-French joint research laboratory in Computer Sciences Automation and Applied Mathematics
Contributor to WP 1, 3 and 5
Zhong Guan Cun Dong Lu 95 Haidian District
100080 Beijing, People’s Republic of China
tel.: +86 10 625 515 75
Contact person:
Chun-Hong Pan
chpan@nlpr.ia.ac.cn
tel.: +86 10 826 298 03, +86 10 826 244 62
Fax: +86 10 626 474 58
The Institute of Automation (CASIA) was founded by the Chinese Academy of Sciences (CAS) in October 1956 to become a national R&D organization focusing on automatic control and information processing. The Institute has evolved into an internationally reputable modern academic institution that encompasses basic and applied basic research, development and engineering research as well as production in many of its spin-offs in the broad fields of automation and information technology. CASIA's current R&D activities center around three major directions, namely Intelligent Control and Integrated Automation, Complex Systems and Intelligence Science, and Intelligent Information Processing. The Institute has three laboratories for basic and applied basic research (namely, the National Laboratory of Pattern Recognition –NLPR-- the Laboratory of Complex System and Intelligent Processing, and the Sino-French Laboratory in Computer Science, Automation and Applied Mathematics –LIAMA), six engineering centers for development and engineering research, and a number of spin-offs for technology transfer and market-oriented research and production.
LIAMA, the Sino-French Laboratory in Computer Science, Automation and Applied Mathematics was created in 1997 by the Chinese Academy of Sciences (CAS) and the French National Institute for Research in Computer Science and Control (INRIA). In 2000 and 2004, the French National Center for Scientific Research (CNRS) and the French Center dedicated to International Cooperation for Research in Agronomy and Development (CIRAD), French National Institute for Research in Agronomy (INRA) and the French Research Institute for GeoSciences (BRGM) joined in. In the frame of an annual call, LIAMA did brought support to a wide range of collaborative Sino-French projects in various domains, while increasing research activities developed on site with permanent seniors and students from both countries. LIAMA hosts research key-projects of scientific excellence with a strong Sino-French collaborative frame, open to Europe and international.
Since 2004, LIAMA has established a research group on Image Understanding and Data Fusion for Remote Sensing Applications (RSIU). The main scientific objective of the RSIU group is to elaborate new models for dynamic scene understanding and object recognition. Applications focus on environmental problems of major importance for China, such as urban change analysis, digital map updating, forest dynamic, peri-urban structural change recognition, etc. Optical and radar, from very high resolution (quickbird, radarsat) to low resolution (NOAA) are processed depending on the application.
