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Geometric representation methods for multi-type self-defining remote sensing data setsEfficient and convenient representation of remote sensing data is highly important for an effective utilization. The task of merging different data types is currently dealt with by treating each case as an individual problem. A description is provided of work which is carried out to standardize the multidata merging process. The basic concept of the new approach is that of the self-defining data set (SDDS). The creation of a standard is proposed. This standard would be such that data which may be of interest in a large number of earth resources remote sensing applications would be in a format which allows convenient and automatic merging. Attention is given to details regarding the multidata merging problem, a geometric description of multitype data sets, image reconstruction from track-type data, a data set generation system, and an example multitype data set.
Document ID
19810049990
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Anuta, P. E.
(Purdue University West Lafayette, Ind., United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1980
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: Congress
Location: Hamburg
Country: Germany
Start Date: July 13, 1980
End Date: July 25, 1980
Sponsors: International Society for Photogrammetry, International archives of photogrammetry
Accession Number
81A34394
Funding Number(s)
CONTRACT_GRANT: NAS9-15466
CONTRACT_GRANT: NSF ENG-78-20466
CONTRACT_GRANT: NSF ENG-76-14400
Distribution Limits
Public
Copyright
Other

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