Novel approach to identify good tracer clouds from a sequence of satellite images

IEEE Transactions on Geoscience and Remote Sensing

Volumn 43, Issue 4, 2005, Pages 813-818

  Mandal, Achintya K ^a   Pal, Srimanta ^b   De, Arun K ^b   Mitra, Subhasis ^b  

^a VISVA BHARATI UNIVERSITY   (India)

^b INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Association of regions; Best tracer cloud; Cloud motion vector (CMV); Feature vector; Tracer cloud

Indexed keywords

ALGORITHMS; FUZZY SETS; IMAGING SYSTEMS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; SATELLITES; VAPORS;

ASSOCIATION OF REGIONS; BEST TRACER CLOUDS; CLOUD MOTION VECTOR (CMV); FEATURE VECTOR; TRACER CLOUDS;

CLOUDS;

EID: 16444370981     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2005.843324     Document Type: Article

References (17)

1. A. N. Evans, "Cloud tracking using ordinal measures and relaxation labeling," in Proc. IGARSS, vol. 2, 1999, pp. 1259-1261.
2. W. P. Menzel, "Cloud tracking with satellite imagery: From the pioneering work of ted fujita to the present," Bull. Amer. Meteorol. Soc., vol. 82, no. 1, pp. 33-47, 2001.
3. R. R. Kelkar and P. N. Khanna, "Automated extraction of cloud motion vectors from INSAT-IB imagery," Mausam, vol. 37, pp. 495-500, 1986.
4. R. Brad and I. A. Letia, "Extracting cloud motion from satellite image sequences," in Proc. 7th Int. Conf. on Control, Automation, Robotics and Vision, Singapore, 2002, pp. 1303-1307.
5. Q. X. Wu, "A correlation-relaxation-labeling frame work for computing optical flow template matching from a new perspective," IEEE Trans. on Pattern Anal. Mach. Intell., vol. 17, no. 9, pp. 843-853, Sep. 1995.
6. S. Cote and A. R. L. Tatnall, "The Hopfield neural network as a tool for feature tracking and recognition from satellite sensor images," Int. J. Remote Sens., vol. 18, pp. 871-885, 1997.
7. K. Palaniappan, C. Kambhamettu, A. F. Halsar, and D. G. Goldgof, "Structure and semi-fluid motion analysis of stereoscopic satellite images for cloud tracking," in Proc. 5th Int. Conf. Computer Vision, 1995, pp. 659-665.
8. D. N. Bhat and S. K. Nayar, "Ordinal measures for image correspondence," IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 4, pp. 415-423, Apr. 1998.
9. A. N. Evans, "On the use of ordinal measures for cloud tracking," Int. J. Remote Sen., vol. 21, pp. 1939-1944, 2000.
10. K. Holmlund, A. Ottenbacher, and J. Schmetz, "Current system for extracting cloud motion vectors from meteosat multi-channel image data," in Proc. 2nd Int. Wind Workshop, Tokyo, Japan, 1993, pp. 45-53.
11. A. K. De, S. Mitra, and A. K. Mandal, "Cloud motion vector estimation from sequence of satellite (IR) images," in Proc. 5th Int. Conf. Advances in Pattern Recognition, 2003, pp. 417-422.
12. A. K. De, S. Mitra, and A. K. Mandal, "Auto detection of tracer clouds: A software approach," presented at the 1st Int. Conf. Microwaves, Antenna, Propagation and Remote Sensing, Jodhpur, India, 2003.
13. T. Sergios and K. Konstantinos, Pattern Recognition. Orlando, FL: Academic, 1999.
14. M. Garey, R. Johnson, and S. David, Computers and Intractability - A Guide to the Theory of NP Completeness. New York: W. H. Freeman, 1999.
15. J. J. Hopfield and D. W. Tank, "Neural computation of decisions in optimization problems," Biol. Cybern., vol. 52, pp. 141-152, 1985.
16. S. Krickpatric, J. C. D. Gelett, and M. P. Vecchi, "Optimization by simulated annealing," Science, vol. 220, no. 4598, pp. 671-680, 1983.
17. G. J. Klir and B. Yuan, Fuzzy Sets and Fuzzy Logic-Theory and Application. Upper Saddle River, NJ: Prentice-Hall, 1995.