发明名称 |
EFFICIENT NEAR NEIGHBOR SEARCH (ENN-SEARCH) METHOD FOR HIGH DIMENSIONAL DATA SETS WITH NOISE |
摘要 |
A nearer neighbor matching and compression method and apparatus provide matching of data vectors to exemplar vectors. A data vector is compared to exemplar vectors contained within a subset of exemplar vectors, i.e., a set of possible exemplar vectors to find a match (18). After a match is found, a probability function assigns a probability value based on the probability that a better matching exemplar vector exists (22). If the probability that a better match exists is greater than a predetermined probability value, the data vector is compared to an additional exemplar vector (24). If a match is not found, the data vector is added to the set of exemplar vectors. Data compression may be achieved in a hyperspectral image data vector set by replacing each observed data vector representing a respective spatial pixel to a member of the exemplar set that "matches" the data vector. As such, each spatial pixel will be assigned to one of the exemplar vectors (26).
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申请公布号 |
WO03085590(A1) |
申请公布日期 |
2003.10.16 |
申请号 |
WO2003US08822 |
申请日期 |
2003.03.31 |
申请人 |
THE GOVERNMENT OF THE UNITED STATES OF AMERICA AS |
发明人 |
PALMADESSO, PETER;BOWLES, JEFFREY,;GILLIS, DAVID |
分类号 |
G06F17/16;(IPC1-7):G06K9/36 |
主分类号 |
G06F17/16 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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