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  • Search: person:"Bustos, Oscar"
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Year of publication
Subject
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Filling gaps 1 Imputation 1 Remote sensed imagery 1
Online availability
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Undetermined 3 Free 1
Type of publication
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Article 3 Book / Working Paper 1
Language
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Undetermined 3 English 1
Author
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Bustos, Oscar 2 Bustos, Oscar H. 2 Frery, Alejandro C. 2 Flesia, Ana Georgina 1 Ojeda, Silvia 1 Rulloni, Valeria 1 Vallejos, Ronny 1
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Computational Statistics & Data Analysis 3 Mathematics Preprint Archive 1
Source
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RePEc 3 ECONIS (ZBW) 1
Showing 1 - 4 of 4
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Statistical Functions and Procedures in Idl 5.6
Bustos, Oscar H. - 2018
This work presents the results of assessing the accuracy of statistical routines as implemented in the IDL 5.6 platform. This is “a complete computing environment for the interactive analysis and visualization of data. IDL integrates a powerful, array-oriented language with numerous...
Persistent link: https://www.econbiz.de/10012921687
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Large gap imputation in remote sensed imagery of the environment
Rulloni, Valeria; Bustos, Oscar; Flesia, Ana Georgina - In: Computational Statistics & Data Analysis 56 (2012) 8, pp. 2388-2403
Imputation of missing data in large regions of satellite imagery is necessary when the acquired image has been damaged by shadows due to clouds, or information gaps produced by sensor failure.
Persistent link: https://www.econbiz.de/10010574490
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A new image segmentation algorithm with applications to image inpainting
Ojeda, Silvia; Vallejos, Ronny; Bustos, Oscar - In: Computational Statistics & Data Analysis 54 (2010) 9, pp. 2082-2093
This article describes a new approach to perform image segmentation. First an image is locally modeled using a spatial autoregressive model for the image intensity. Then the residual autoregressive image is computed. This resulting image possesses interesting texture features. The borders and...
Persistent link: https://www.econbiz.de/10008462417
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Statistical functions and procedures in IDL 5.6 and 6.0
Bustos, Oscar H.; Frery, Alejandro C. - In: Computational Statistics & Data Analysis 50 (2006) 2, pp. 301-310
Persistent link: https://www.econbiz.de/10005118221
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