Automatic space object detection on all-sky images from a synoptic survey synthetic telescope array-Reference-Cited by-同舟云学术

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Automatic space object detection on all-sky images from a synoptic survey synthetic telescope array

Published:2020-01 Issue:1 Volume:65 Page:337-350
ISSN:0273-1177
Container-title:Advances in Space Research
language:en
Short-container-title:Advances in Space Research

Author:

San Martín Felipe I.,Perez Claudio A.,Tapia Juan E.,Virani Shahzad,Holzinger Marcus J.

Funder

Fondo Nacional de Desarrollo Científico y Tecnológico

Universidad de Chile

Georgia Institute of Technology

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference39 articles.

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2. Fusion of local normalization and gabor entropy weighted features for face identification;Cament;Pattern Recogn.,2014

3. Face recognition under pose variation with local gabor features enhanced by active shape and statistical models;Cament;Pattern Recogn.,2015

4. A computational approach to edge detection;Canny;IEEE Trans. Pattern Anal. Mach. Intellig.,1986

5. Illumination normalisation method using kolmogorov-nagumo-based statistics for face recognition;Castillo;Electron. Lett.,2014

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