2002
DOI: 10.1007/978-3-662-04906-8
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Astronomical Image and Data Analysis

Abstract: Cover picture: Five-minute exposure (five 60-second dithered and stacked images), R filter, taken with CFH12K wide-field camera (100 million pixels) at the primary focus ofthe CFHT in July 2000. The image is from an extremely rich zone of our Galaxy, containing star formation regions, dark nebulae (molecular c10uds and dust regions), emission nebulae (Ha regions), and evolved stars which are scattered throughout the field in their two-dimensiona1 projection effect. This zone is in the constellation of Sagittar… Show more

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Cited by 185 publications
(166 citation statements)
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“…1 and 2) and will therefore be less likely to form high-mass stars in the near future. We apply the source extraction technique developed by Motte et al (2003) which uses a multi-resolution analysis (Starck & Murtagh 2006) and the Gaussclumps program Fig. 2.…”
Section: Census Of Compact Cloud Fragments In Cygnus Xmentioning
confidence: 99%
See 1 more Smart Citation
“…1 and 2) and will therefore be less likely to form high-mass stars in the near future. We apply the source extraction technique developed by Motte et al (2003) which uses a multi-resolution analysis (Starck & Murtagh 2006) and the Gaussclumps program Fig. 2.…”
Section: Census Of Compact Cloud Fragments In Cygnus Xmentioning
confidence: 99%
“…For this purpose, we use a multiresolution program based on wavelet transforms (MRE, cf. Starck & Murtagh 2006). This makes a series of filtering operations and provides "views" of the image at different spatial scales.…”
Section: Appendix B: An Extraction Technique Dedicated To Compact Soumentioning
confidence: 99%
“…We use the à trous wavelet transform (for details see Starck et al 1998;Starck & Murtagh 2002). The field is decomposed into several frequency bands as follows.…”
Section: A2 Waveletsmentioning
confidence: 99%
“…When used for object detection, the à trous wavelet method is not robust enough in relation to false positive detections. High amplitude, stand-alone pixels together with noise patterns (2-3 neighboring pixels of higher value than background mean) can disturb the detection process (Starck and Murtagh 2002). These appear frequently on fluorescence images with higher levels of shot noise.…”
Section: Detection Algorithm For Sparksmentioning
confidence: 99%