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Providing multi-scale consistency for multi-scale geospatial data
Proceedings of the 25th International Conference on Scientific and Statistical Database Management, 2013We are immersed in a world in which we constantly deal (and cope) with objects and phenomena in a variety of scales in space and time. With the increase in collaborative and inter-disciplinary research, there appeared a growing need for handling data in multiple scales and representations, within a single environment.
João Sávio C. Longo +1 more
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A framework for multi-scale modelling [PDF]
We review a methodology to design, implement and execute multi-scale and multi-science numerical simulations. We identify important ingredients of multi-scale modelling and give a precise definition of them. Our framework assumes that a multi-scale model can be formulated in terms of a collection of coupled single-scale submodels. With concepts such as
Joris Borgdorff, Alfons G Hoekstra
exaly +6 more sources
2020 25th International Conference on Pattern Recognition (ICPR), 2021
We propose a new hierarchical method to match keypoints by exploiting information across multiple scales. Traditionally, for each keypoint a single scale is detected and the matching process is done in the specific scale. We replace this approach with matching across scale-space.
Sina Lotfian, Hassan Foroosh
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We propose a new hierarchical method to match keypoints by exploiting information across multiple scales. Traditionally, for each keypoint a single scale is detected and the matching process is done in the specific scale. We replace this approach with matching across scale-space.
Sina Lotfian, Hassan Foroosh
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Pattern Recognition, 1993
Abstract A multi-scale edge detector with subpixel accuracy is described. A subpixel Laplacian edge detector, recursively implemented, is run at different scales and the recovered edge information is combined. The multi-scale edge detection is based on the behavior of edges in scale space and takes into account their physical phenomena.
Djemel Ziou, Salvatore Tabbone
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Abstract A multi-scale edge detector with subpixel accuracy is described. A subpixel Laplacian edge detector, recursively implemented, is run at different scales and the recovered edge information is combined. The multi-scale edge detection is based on the behavior of edges in scale space and takes into account their physical phenomena.
Djemel Ziou, Salvatore Tabbone
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Multi-scale modeling of textures
Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. IV. Conference D: Architectures for Vision and Pattern Recognition,, 2003Considers a specific class of textures which are stochastic, possibly periodic, two-dimensional signals displaying fractal-like or self-similar characteristics. Most natural textures belong to this class. The authors explore the use of autoregressive (AR) processes on trees as texture model. This theory was proposed by Basseville et al.
Mitra Basu, Zhiyong Lin
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Multi-scale ecosystem analysis
Environmental Monitoring and Assessment, 1996As a precursor to management, ecosystems of different sizes need to be mapped at different scales. The key to developing criteria for subdividing land into ecosystems is understanding the factors that control ecosystem size at various scales in a hierarchy.
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Multi-scale approaches for geodata
1999Topological object relationships in combination with object classification hierarchies appear to be fundamental in the definition of the aggregation rules for spatial objects. Such rules are essential building blocks for the construction of generalization procedures in spatial databases.
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2008 IEEE International Conference on Granular Computing, 2008
This paper proposes a method to reduce the number of concepts still conserving their formal structure. Our main idea is first to gather objects into classes such that the members of the same class share some set of properties, and then define a kind of Galois connection via a concept of inclusion degree in order to cope, to a certain degree (denoted as
Ju-Sheng Mi, Jing Liu, Bin Xie 0003
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This paper proposes a method to reduce the number of concepts still conserving their formal structure. Our main idea is first to gather objects into classes such that the members of the same class share some set of properties, and then define a kind of Galois connection via a concept of inclusion degree in order to cope, to a certain degree (denoted as
Ju-Sheng Mi, Jing Liu, Bin Xie 0003
openaire +1 more source

