Image analysis – Image compression or coding
Patent
1998-03-06
2000-12-26
Mehta, Bhavesh
Image analysis
Image compression or coding
382100, 382155, G06K 936, G06K 946
Patent
active
061671568
ABSTRACT:
The Compression of Hyperdata with ORASIS Multisegment Pattern Sets, (CHOMPS), system is a collection of algorithms designed to optimize the efficiency of multi spectral data processing systems. The CHOMPS system employs two types of algorithms, Focus searching algorithms and Compression Packaging algorithms. The Focus algorithms employed by CHOMPS reduce the computational burden of the prescreening process by reducing the number of comparisons necessary to determine whether or not data is redundant, by selecting only those exemplars which are likely to result in the exclusion of the incoming sensor data for the prescreener comparisons. The Compression Packaging algorithms employed by CHOMPS, compress the volume of the data necessary to describe what the sensor samples. In the preferred embodiment these algorithms employ the Prescreener, the Demixer Pipeline and the Adaptive Learning Module Pipeline to construct a compressed data set. The compression is realized by constructing the data set from the exemplars defined in the prescreening operation and expressing those exemplars in wavespace with the necessary scene mapping data, or further processing the exemplars through the adaptive learning pipeline and expressing the exemplars in terms of endmembers, to facilitate the efficient storage, download and the later reconstruction of the complete data set with minimal deterioration of signal information.
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Kneubuehler et al, "Comparison of Different Approaches of Selecting Endmers . . . " pp. 888-890, Jan. 1998.
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Antoniades John A.
Baumback Mark M.
Bowles Jeffrey H.
Grossman John M.
Haas Daniel G.
Karasek John J.
Mehta Bhavesh
Stockstill Charles J.
The United States of America as represented by the Secretary of
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