DI Kaichang
Name: DI Kaichang
Current Appointment: Professor, State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS)
Education:
Ph.D. in Photogrammetry and Remote Sensing, Wuhan Technical University of Surveying and Mapping (WTUSM), Wuhan, China, 1999
(Doctoral thesis: The Theory and Methods of Spatial Data Mining and Knowledge Discovery)
MS in Photogrammetry and Remote Sensing, WTUSM, Wuhan, China, 1992
(Master's thesis: A Thematic Map Reading System and its Application in Land Resources Investigation)
BS with honor in Photogrammetry and Remote Sensing, WTUSM, Wuhan, China, 1989
(Thesis: Automatic Recognition of Characters from Scanned Maps)
Current Research Interests:
Planetary mapping and remote sensing, rover navigation and localization. The detailed research topics include:
? Theory and methods of high-precision planetary geopositioning and fine-scale topographic mapping using multiple sources of data;
? Planetary composition inversion and surface change detection;
? Rover navigation and localization techniques for deep space teleoperation.
Society Appointments:
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Co-Chair, Working Group IV/8: Planetary Mapping and Spatial Databases, International Society for Photogrammetry and Remote Sensing
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Executive council member and vice secretory-general, Beijing Society of image and graphics
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Member of Editorial Board, Journal of Remote Sensing
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Member of Editorial Board, Spacecraft Engineering
Representative publications:
Refereed Journal Publications:
Di, K., Y. Liu, B. Liu, M. Peng and W. Hu, 2014. A Self-calibration Bundle Adjustment Method for Photogrammetric Processing of Chang'E-2 Stereo Lunar Imagery, IEEE Transactions on Geoscience and Remote Sensing, 52(12).
Wu, K., K. Di, X. Sun, W. Wan, Z. Liu, 2014. Enhanced Monocular Visual Odometry Integrated with Laser Distance Meter for Astronaut Navigation, Sensors, 14(3): 4981-5003.
Peng, M., K. Di, Z. Liu, 2014. Adaptive Markov random field model for dense matching of deep space stereo images, Journal of Remote Sensing, 18(1)77-82.
Liu, Z., M. Peng, and K, Di, 2014. A continuative variable resolution digital elevation model for ground-based photogrammetry, Computers & Geosciences, 61(1):71-79.
Hu, W., K. Di, Z. Liu, J. Ping, 2013. A new lunar global DEM derived from Chang'E-1 Laser Altimeter data based on crossover adjustment with local topographic constraint, Planetary and Space Science, 87(2013):173–182.
Ou, J., G. Qiao, F. Bao, W. Wang, K. Di, R. Li, 2013. A New Method for Automatic Large Scale Map Updating Using Mobile Mapping Imagery, The Photogrammetric Record, 28(143):240-260.
Yue, Z., B. C. Johnson, D. A. Minton, H. J. Melosh, K. Di, W. Hu and Y. Liu, 2013. Projectile remnants in central peaks of lunar impact craters, Nature Geoscience, 6(6):435-437.
Di, K., K. Wu, Z. Liu, W. Wan, Z. Di, G. Li. 2013. Fast near-region gravity terrain correction approach based on panoramic stereo vision, Journal of Remote Sensing, 17(4):759-767.
Hu, W., K. Di, Z. Yue, Z. Liu, 2013. Corssover analysis and adjustment for Chang’e-1 laser altimeter data, Acta Geodaetica et Cartographica Sinica, 42(2):218-224. (in Chinese with English abstract)
Di, K., Z. Yue, Z. Liu, and S. Wang, 2013. Automated rock detection and shape analysis from Mars rover imagery and 3D point cloud data, Journal of Earth Science, 24(1): 125-135.
Di, K., W. Wan, and Z. Liu, 2013. New visual odometry method for planetary rover localization, Journal of Remote Sensing, 17(1): 46-53.
Di, K., C. Zhang, Z. Liu, 2013. A new approach to rover camera handoff, Spacecraft Engineering, 22(1): 33-38. (in Chinese with English abstract)
Yue, Z., K. Di, P. Zhang, 2012. Theories and methods for numerical simulation of impact crater formation, Earth Science Frontiers, 19(6):110-117. (in Chinese with English abstract)
Liu, B., X. Sun, K. Di, Z. Liu, 2012. Accuracy analysis and validation of ZY-3’s sensor corrected products, Remote Sensing of Land and Resources, (4):1-5. (in Chinese with English abstract)
Liu, C., F. Zhou, Y. Sun, K. Di, Z. Liu, 2012. Stereo-Image Matching Using a Speeded Up Robust Feature Algorithm in an Integrated Vision Navigation System, The Journal of Navigation, 65: 671-692.
Di, K., W. Hu, Y. Liu, and M. Peng. 2012. Co-registration of Chang'E-1 Stereo Images and Laser Altimeter Data with Crossover Adjustment and Image Sensor Model Refinement, Advances in Space Research, DOI: 10.1016/j.asr.2012.06.037.
Yue, Z., H. Xie, K. Di and Z. Ouyang, 2012. Mapping Lunar Olivine Using Clementine Spectral Indices and Chemical Composition Parameters, Acta Geologica Sinica (English edition), 86(1): 65-72.
Liang, J., Z. Liu, K. Di, 2012. Construction of a 3D measurable virtual reality environment for planetary exploration applications, Spacecraft Engineering, 21(3):28-34. (in Chinese with English abstract)
Di, K., Z. Liu, and Z. Yue, 2011. Mars Rover Localization based on Feature Matching between Ground and Orbital Imagery, Photogrammetric Engineering and Remote Sensing, 77(8): 781-791.
Di, K., and M. Peng, 2011. Wide Baseline Mapping for Mars Rovers, Photogrammetric Engineering and Remote Sensing, 77(6): 609-618.
Li, R., J. Hwangbo, Y. Chen, K. Di, 2011. Rigorous Photogrammetric Processing of HiRISE Stereo Imagery for Mars Topographic Mapping, IEEE Transactions on Geoscience and Remote Sensing, 49(7): 2558 -2572.
Di, K., F. Xu, J. Wang, S. Agarwal, E. Brodyagina, R. Li, L. Matthies, 2008. Photogrammetric Processing of Rover Imagery of the 2003 Mars Exploration Rover Mission, ISPRS Journal of Photogrammetry and Remote Sensing, 63: 181-201, doi:10.1016/j.isprsjprs.2007.07.007.
Di, K. and R. Li, 2004. CAHVOR Camera Model and Its Photogrammetric Conversion for Planetary Applications, Journal of Geophysical Research - Planets, 109(E4), E04004, doi:10.1029/2003JE002199.
Di, K., R. Ma, and R. Li, 2003. Geometric Processing of IKONOS stereo Imagery for Coastal Mapping Applications, Photogrammetric Engineering and Remote Sensing, 69(8): 873-879.
Di, K., R. Ma, and R. Li, 2003. Rational Functions and Potential for Rigorous Sensor Model Recovery, Photogrammetric Engineering and Remote Sensing, 69(1): 33-41.
Book:
Di. K., 2001. Spatial Data Mining and Knowledge Discovery, Wuhan University Press, Wuhan, China, 182p. (in Chinese)
Conference Publications:
Di, K., Y. Liu, W. Hu, Z. Yue, Z. Liu, 2013. Mars Surface Change Detection from Multi-temporal Orbital Images, 35th International Symposium on Remote Sensing of Environment (ISRSE35), Beijing, China, April, 2013.
Gou, S., K. Di, Z. Yue, J. Wang, 2013. Reanalysis of MGS-TES Data with Detected/Known Minerals And Its Implications for Geologic Evolution of Mars Crust, 44th Lunar and Planetary Science Conference, Abstract # 1255, The Woodlands, Texas, March 18–22, 2013.
Zhang, C., K. Di, Z. Liu and W. Wan, 2013. TLD Based Visual Target Tracking for Planetary Rover Exploration, IGTA2013, Beijing, China, April, 2013.
Wan, W., Z. Liu and K. Di, 2013. A New Method for Real-Time High-Precision Planetary Rover Localization and Topographic Mapping, IGTA2013, Beijing, China, April 2013.
Liu, B., Y. Liu, K. Di, and X. Sun, 2012. Block Adjustment of Chang'E-1 Images Based on Rational Function model. Remote Sensing of the Environment: 17th National Symposium on Remote Sensing of China, 20-23 October, Wuhan, China.
Liu, Y., B. Liu, M.Peng, and K.Di, 2012. A preliminary result of self-calibration bundle adjustment of Chang’E-2 stereo imagery. Remote Sensing of the Environment: 17th National Symposium on Remote Sensing of China, 20-23 October, Wuhan, China.
Gou, S., Z. Yue, K. Di, and J. Wang, 2012. Hyper-spectral identification of mineral diversity and formation mechanism analysis in Mclaughlin crater on Mars. Remote Sensing of the Environment: 17th National Symposium on Remote Sensing of China, 20-23 October, Wuhan, China.
Sun, Y., B. Liu, X. Sun, W. Wan, K. Di, and Z. Liu. 2012. A CPU/GPU collaborative approach to high-speed remote sensing image rectification based on RFM. Remote Sensing of the Environment: 17th National Symposium on Remote Sensing of China, 20-23 October, Wuhan, China.
Di, K., Y. Liu, B. Liu, and M. Peng, 2012. Rigorous photogrammetric processing of Chang'E-1 and Chang'E-2 stereo imagery for lunar topographic mapping, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 39, Part 4, 22nd ISPRS Congress, Melbourne, Australia, Aug. 25- Sep. 1.
Di, K., J. Liang, and Z. Liu, 2011. Construction of a 3D Measurable Virtual Reality Environment Based On Ground Panoramic Images and Orbital Imagery for Planetary Exploration Applications, International Achieves of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 38, Part 4/W25, ISPRS Workshop on Geospatial Data Infrastructure: from data acquisition and updating to smarter services, Guilin China, October 20-21.
Liu, Y., and K. Di, 2011. Evaluation of Rational Function Model for Geometric Modeling of Chang’E-1 CCD Images, International Achieves of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 38, Part 4/W25, ISPRS Workshop on Geospatial Data Infrastructure: from data acquisition and updating to smarter services, Guilin China, October 20-21.
Hu, W., Z. Yue, K. Di, 2011. Crossover Analysis of Chang’E-1 Laser Altimeter Data, International Achieves of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 38, Part 4/W25, ISPRS Workshop on Geospatial Data Infrastructure: from data acquisition and updating to smarter services, Guilin China, October 20-21.
Recent Research Projects:
RADI 135 Plan - Five important fostering direction project: Remote sensing of planetary surface environment and comparative study with earth global change, Principal Investigator (PI).
National 973 Project (No. 2012CB719902): Geopositioning and orientation of moving remote sensing platforms, PI of sub-project.
Research project supported by high-resolution earth observation major projects program: Geometric rectification and ortho-rectification of High-resolution satellite images, PI
Chang’e-3 teleoperation system contract project: Key techniques and software development for lunar terrain reconstruction and visual localization of the rover, PI
National Natural Science Foundation of China (No. 41171355): Astronaut localization on lunar surface, PI.
National 863 project (No. 2009AA12Z310): Image and IMU combined navigation and localization in underground and outer space environments, PI.
National Natural Science Foundation of China (No. 40871202): Autonomous rover localization and mapping in deep space exploration supported by orbital and ground data, PI.
Office Address:
Institute of Remote Sensing and Digital Earth
Chinese Academy of Sciences
P.O.Box 9718, Datun Road, Chaoyang District, Beijing 100101, P.R.China
Tel: 86-10-64868229
Email: dikc@radi.ac.cn
Education