Adaptive Compression of Multisensor Image Data
Abstract
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 ) 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 algorithm as a function of bit rate.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1992
- Accession Number
- ADA248389
Entities
People
- Ernesto R. Cespedes