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Using high resolution satellite imagery to detect, analyse and extract landslides automatically is an increasing strong support for rapid response after disaster. This requires the formulation of proc...
Topic modeling has been an increasingly mature method to bridge the semantic gap between the low-level features and high-level semantic information. However, with more and more high spatial resolution...
In this paper we present an approach for semantic interpretation of facade images based on a Convolutional Network. Our network processes the input images in a fully convolutional way and generates pi...
In this paper we explore semantic segmentation of man-made scenes using fully connected conditional random field (CRF). Images of man-made scenes display strong contextual dependencies in the spatial ...
In recent years, with the rapid development of satellite remote sensing technology, the obtainable remote sensing data has been increasing at striking rate. However, because of heterogeneous storage, ...
Based on comprehensive analysis of 3D property right objects and various application characteristics, in this paper, a novel conceptual model is proposed for solving the problems of integrated managem...
Quality of integrated data depends on the quality of original data sources, but it can also be affected by the semantic mapping process between ontologies of different sources, thus influencing the qu...
In analogy to spatial and temporal reference systems, semantic reference systems have been proposed to support interoperation between information communities. Such reference systems provide the struct...
Traditionally National Mapping Agencies (NMAs) produce maps at different scales. Since automatic generalisation is not yet possible (it will at least take years) NMAs have to maintain their data sets ...
SEMANTIC INTEROPERABILITY AND CITIZEN/GOVERNMENT INTERACTION.
SEMANTIC HETEROGENEITY OF GEODATA.
In this paper we describe a new concept for the reconstruction of buildings. In contrast to most of the published approaches, we link the reconstruction process with the building interpretation. With ...
Three dimensional urban reconstruction is gaining popularity with the paradigm shift from 2D maps to 3D maps. LiDAR remote sensing is emerging as the main source of 3D spatial data because of its very...
Use of relevant geo-information is one of the important issues for performing different tasks and processes in disaster response phase. In order to save time and cost, services could be employed for...

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