Abstract/Details

Adaptive compression of multisensor image data

Cespedes, Ernesto Raul. 
 Mississippi State University ProQuest Dissertations Publishing,  1991. 9218185.

Abstract (summary)

The objective of this study is to develop and test a methodology for the design of multisensor image compression systems. Data collected from an airborne active (laser) and passive (thermal infrared) imaging system are analyzed and an efficient adaptive transform coding method is developed to exploit the characteristics of the source. A number of adaptive techniques that compensate for the nonstationary nature of the source are evaluated, and a novel model-based bit allocation and quantization strategy is adopted. The compression/reconstruction scheme is implemented in a massively parallel processor, and a large number of multisensor images are processed in order to define the rate-distortion performance of the scheme. The utility of the reconstructed imagery is also evaluated by examining the performance of multichannel target detection algorithms as a function of bit rate.

Indexing (details)


Subject
Electrical engineering
Classification
0544: Electrical engineering
Identifier / keyword
Applied sciences; image compression
Title
Adaptive compression of multisensor image data
Author
Cespedes, Ernesto Raul
Number of pages
204
Degree date
1991
School code
0132
Source
DAI-B 53/01, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
979-8-207-28742-3
Advisor
Owens, John K.
University/institution
Mississippi State University
University location
United States -- Mississippi
Degree
Ph.D.
Source type
Dissertation or Thesis
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
9218185
ProQuest document ID
303923204
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
https://www.proquest.com/docview/303923204