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Understanding Local Structure Globally in Earth Science Remote Sensing Data SetsEmpirical probability distributions derived from the data are the signatures of physical processes generating the data. Distributions defined on different space-time windows can be compared and differences or changes can be attributed to physical processes. This presentation discusses on ways to reduce remote sensing data in a way that preserves information, focusing on the rate-distortion theory and using the entropy-constrained vector quantization algorithm.
Document ID
20090022388
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Braverman, Amy
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Fetzer, Eric
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 24, 2013
Publication Date
August 1, 2007
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: Joint Statistical Meeting
Location: Sal Lake City, UT
Country: United States
Start Date: July 29, 2007
End Date: August 2, 2007
Distribution Limits
Public
Copyright
Other
Keywords
massive data sets
statistics
data compression
Earth science

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