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Spatial Statistical Data Fusion for Remote Sensing ApplicationsData fusion is the process of combining information from heterogeneous sources into a single composite picture of the relevant process, such that the composite picture is generally more accurate and complete than that derived from any single source alone. Data collection is often incomplete, sparse, and yields incompatible information. Fusion techniques can make optimal use of such data. When investment in data collection is high, fusion gives the best return. Our study uses data from two satellites: (1) Multiangle Imaging SpectroRadiometer (MISR), (2) Moderate Resolution Imaging Spectroradiometer (MODIS).
Document ID
20110011278
Acquisition Source
Jet Propulsion Laboratory
Document Type
Presentation
External Source(s)
Authors
Nguyen, Hai
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 25, 2013
Publication Date
May 18, 2010
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: 2010 Joint Statistical Meetings
Location: Vancouver
Country: Canada
Start Date: July 31, 2010
End Date: August 5, 2010
Sponsors: American Statistical Association
Distribution Limits
Public
Copyright
Other
Keywords
fusion techniques
aerosols
data fusion

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