High-resolution asymptotics for the angular bispectrum of spherical random fields

The Annals of Statistics ◽

10.1214/009053605000000903 ◽

2006 ◽

Vol 34 (1) ◽

pp. 1-41 ◽

Author(s):

Domenico Marinucci

Keyword(s):

High Resolution ◽

Random Fields ◽

Spherical Random Fields

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Group representations and high-resolution central limit theorems for subordinated spherical random fields

Bernoulli ◽

10.3150/09-bej230 ◽

2010 ◽

Vol 16 (3) ◽

pp. 798-824 ◽

Author(s):

Domenico Marinucci ◽

Giovanni Peccati

Keyword(s):

High Resolution ◽

Central Limit ◽

Random Fields ◽

Limit Theorems ◽

Central Limit Theorems ◽

Group Representations ◽

Spherical Random Fields

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Building Detection From One Orthophoto and High-Resolution InSAR Data Using Conditional Random Fields

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2010.2053521 ◽

2011 ◽

Vol 4 (1) ◽

pp. 83-91 ◽

Author(s):

Jan Dirk Wegner ◽

Ronny Hansch ◽

Antje Thiele ◽

Uwe Soergel

Keyword(s):

High Resolution ◽

Random Fields ◽

Conditional Random Fields ◽

Building Detection

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A novel segmentation method of high resolution remote sensing image based on object-oriented Markov random fields model

10.1117/12.912791 ◽

2011 ◽

Author(s):

Liang Hong ◽

Xianchun Pan ◽

Zhaozhong Gao ◽

Kun Yang

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Random Fields ◽

Markov Random Fields ◽

Object Oriented ◽

Remote Sensing Image ◽

Segmentation Method ◽

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Unsupervised change detection with high-resolution SAR images by edge-preserving Markov random fields and graph-cuts

2012 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2012.6351112 ◽

2012 ◽

Author(s):

Gabriele Moser ◽

Sebastiano B. Serpico

Keyword(s):

High Resolution ◽

Change Detection ◽

Random Fields ◽

Markov Random Fields ◽

Edge Preserving ◽

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Classification of very high resolution SAR images of urban areas by dictionary-based mixture models, copulas, and Markov random fields using textural features

10.1117/12.865023 ◽

2010 ◽

Author(s):

Aurélie Voisin ◽

Gabriele Moser ◽

Vladimir A. Krylov ◽

Sebastiano B. Serpico ◽

Josiane Zerubia

Keyword(s):

High Resolution ◽

Mixture Models ◽

Random Fields ◽

Urban Areas ◽

Markov Random Fields ◽

Textural Features ◽

Markov Random ◽

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Extraction of building roof contours from the integration of high-resolution aerial imagery and laser data using Markov random fields

International Journal of Image and Data Fusion ◽

10.1080/19479832.2018.1487885 ◽

2018 ◽

Vol 9 (4) ◽

pp. 263-286

Author(s):

Vanessa Jordão Marcato Fernandes ◽

Aluir Porfírio Dal Poz

Keyword(s):

High Resolution ◽

Random Fields ◽

Markov Random Fields ◽

Aerial Imagery ◽

Building Roof ◽

Markov Random ◽

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Increasing domain asymptotics for the first Minkowski functional of spherical random fields

Theory of Probability and Mathematical Statistics ◽

10.1090/tpms/1053 ◽

2019 ◽

Vol 97 ◽

pp. 127-149

Author(s):

N. N. Leonenko ◽

M. D. Ruiz-Medina

Keyword(s):

Random Fields ◽

Minkowski Functional ◽

Spherical Random Fields

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Fractional spherical random fields

Statistics & Probability Letters ◽

10.1016/j.spl.2016.04.011 ◽

2016 ◽

Vol 116 ◽

pp. 146-156 ◽

Author(s):

Mirko D’Ovidio ◽

Nikolai Leonenko ◽

Enzo Orsingher

Keyword(s):

Random Fields ◽

Spherical Random Fields

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Very High Resolution Image Semantic Segmentation with Contextualized Convolutional Neural Network Coupled with Higher Order Conditional Random Fields

2019 IEEE 15th International Conference on Control and Automation (ICCA) ◽

10.1109/icca.2019.8899544 ◽

2019 ◽

Author(s):

Tiancan Mei ◽

Hong Ji ◽

Wenyuan Zheng ◽

Saixian He

Keyword(s):

Neural Network ◽

High Resolution ◽

Convolutional Neural Network ◽

Random Fields ◽

Conditional Random Fields ◽

Semantic Segmentation ◽

Higher Order ◽

Resolution Image ◽

High Resolution Image ◽

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Change Detection Using High Resolution Remote Sensing Images Based on Active Learning and Markov Random Fields

Remote Sensing ◽

10.3390/rs9121233 ◽

2017 ◽

Vol 9 (12) ◽

pp. 1233 ◽

Author(s):

Huai Yu ◽

Wen Yang ◽

Guang Hua ◽

Hui Ru ◽

Pingping Huang

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Active Learning ◽

Change Detection ◽

Random Fields ◽

Markov Random Fields ◽

Remote Sensing Images ◽

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