Semi-Streaming Quantization for Remote Sensing Data

Journal of Computational and Graphical Statistics

Volumn 12, Issue 4, 2003, Pages 759-780

  Braverman, Amy ^a   Fetzer, Eric ^a   Eldering, Annmarie ^a   Nittel, Silvia ^b   Leung, Kelvin ^c  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF MAINE   (United States)

^c University of California   (United States)

Author keywords

Cluster analysis; Data compression; Data reduction; Massive datasets

Indexed keywords

EID: 0742271560     PISSN: 10618600     EISSN: None     Source Type: Journal    
DOI: 10.1198/1061860032535     Document Type: Conference Paper

References (7)

1. Ash, R. B. (1965), Information Theory, Dover, New York.
2. Braverman, A. (2002), "Compressing Massive Geophysical Datasets Using Vector Quantization," Journal of Computational and Graphical Statistics, 11, 44-62.
3. Chou, P. A., Lookabaugh, T., and Gray, R. M. (1989), "Entropy-constrained Vector Quantization," IEEE Transactions on Acoustics, Speech, and Signal Processing, 37, 31-42.
4. Cover, T., and Thomas, J. A. (1991), Elements of Information Theory, New York: Wiley.
5. Gray, R. M. (1990), Source Coding Theory, Norwell, MA: Kluwer Academic Publishers.
6. MacQueen, J. B. (1967), "Some Methods for Classification and Analysis of Multivariate Observations," in Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, 1, pp. 281-296.
7. Tarpey, T., and Flury, B. (1996), "Self-Consistency: A Fundamental Concept in Statistics," Statistical Science, 11, 3, 229-243.