Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Oliver G. Campos Trujillo"'
Publikováno v:
SPIE Proceedings.
In recent years, many proposals that consider an adaptive perspective had been developed to solve some drawbacks, such as geometric distortions, background noise and target discrimination. The metrics are based only in the correlation peak output for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abdcbf5901be9d82ecb97def0f44c4be
https://doi.org/10.1117/12.2062024
https://doi.org/10.1117/12.2062024
Publikováno v:
SPIE Proceedings.
A two-step procedure for the reliable recognition and multiclassication of objects in cloudy environments is proposed. The input scene is preprocessed with the help of an iterative algorithm to remove the effects of the cloudy environment, followed b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::274339e04333f26f0babbf71869f6e78
https://doi.org/10.1117/12.894363
https://doi.org/10.1117/12.894363
Publikováno v:
SPIE Proceedings.
A new complex-composite correlation filter for the simultaneous recognition and classification of several targets is presented. By using both the intensity and phase distributions of the output complex-correlation plane, a reliable recognition and cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7d44c1d8934b51f246629deeef4a691
https://doi.org/10.1117/12.860937
https://doi.org/10.1117/12.860937
Autor:
Vitaly Kober, Oliver G. Campos-Trujillo, Pablo Mario Aguilar-González, Victor H. Diaz-Ramirez
Publikováno v:
Optical Engineering. 51:037203
An efficient method for reliable multiclass pattern recognition using a bank of adaptive correlation filters is proposed. The method can recognize and classify multiple targets from an input scene by using both the intensity and phase distributions o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3eeadc599f5007c6467c9133994b7978
https://doi.org/10.1117/1.oe.51.3.037203
https://doi.org/10.1117/1.oe.51.3.037203