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How to involve structural modeling for cartographic object recognition tasks in high-resolution satellite images?

Guray Erus, Nicolas Loménie
2010 Pattern Recognition Letters  
The original contribution of this work is the use of structural shape attributes in an appearance based statistical learning method framework leading to valuable recognition and false alarm rates.  ...  In this study, we develop a system that recognizes such structured and compact objects like bridges or roundabouts.  ...  The extracted primitives on a roundabout image (a) using the edge-based method, (b) using the region-based method Fig. 5 . 5 Construction of the feature vector from the primitives.  ... 
doi:10.1016/j.patrec.2010.01.013 fatcat:kew4icf7rfh2zhex4jdrgilcfe

Rural Road Extraction using Object Based Image Analysis (OBIA): A case study from Assam, India

Ankita Medhi, Ashis Kumar Saha
2019 Advances in Cartography and GIScience of the International Cartographic Association  
Object based Image Analysis (OBIA) has emerged as a promising map analysis approach using high and very high resolution imageries.  ...  Feature extraction is one of the important aspect in OBIA extracting features such as roads, buildings, water bodies and other important features of interest from the high resolution imageries.  ...  Classification For classification of segmented objects rulesets have been created for extracting only the road features.  ... 
doi:10.5194/ica-adv-1-13-2019 fatcat:2v5bkds4xzdmxdqnpmupb6r3sy

A Faceted Classification of Cartographic Materials: Problems of Construction and Use [chapter]

Wieslaw Babik
2012 Categories, Contexts and Relations in Knowledge Organization  
That is an example of special classification and of specific application of the philosophy of faceted classification to cartographic materials.  ...  The goal of the article is to present the problems which occur in the construction of new version of Faceted Classification of Cartographic Materials, developed in the early 1990"s, with focus mainly on  ...  Such systems, mainly based on traditional methodological foundations, are supported by the structures of cartographic collections, and they hardly take into account their distinctive features that can  ... 
doi:10.5771/9783956504402-291 fatcat:biavg3pz3vgrpbz4q6d5jpahfq

Chapter 6 Cognitive Processes and Cartographic Maps [chapter]

Robert Lloyd
1993 Advances in Psychology  
This paper represents the result of enriching cartographic maps with features used by pedestrians for navigation in urban areas.  ...  Users of cartographic maps must accomplish all of the way-finding, positioning and orientation tasks by themselves through connecting the elements of the environment and the map.  ...  This knowledge is used to move in routes and paths based on a sequence of landmarks, features, junctions, and nodes. Route knowledge is based on egocentric view [1] .  ... 
doi:10.1016/s0166-4115(08)60042-4 fatcat:g3wrlbkayfd3lnyz6g4odmqcdu

Web service approaches for providing enriched data structures to generalisation operators

Moritz Neun, Dirk Burghardt, Robert Weibel
2008 International Journal of Geographical Information Science  
The structural knowledge of the spatial and semantical context and the modelling of structural and spatial relationships is critical for the understanding of the role of cartographic features and thus  ...  structural cartographic knowledge.  ...  A topological data structure is an extended planar graph and uses nodes, edges and faces to represent the topological relations of map features.  ... 
doi:10.1080/13658810701348997 fatcat:t7i5s46cbvhg7ks27uyr5ykh7q


Darlan Miranda Nunes, Nilcilene das Graças Medeiros, Afonso de Paula dos Santos
2018 Boletim de Ciências Geodésicas  
In this sense, this work aimed the road network extraction from RapidEye satellite imagery, by developing a hybrid methodology using techniques of object-based image classification and morphological operators  ...  It stands out the importance of this data in cartography update cycles, that can be obtained using automated processes of feature extraction in digital images, which are more accurate, fast and less costly  ...  Cardim for providing the program used for the evaluation of the experiments results.  ... 
doi:10.1590/s1982-21702018000400030 fatcat:4rykmobk2rhtphriaet5ibbusm


J. A. Recio, L. A. Ruiz, T. Hermosilla, V. Herrera-Cruz, A. Fernandéz-Sarría
2012 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
After data pre-processing and the definition of classes in the study area, every object is described by means of a set of features computed from the TerraSAR-X and optical imagery, using a plot-based approach  ...  Cadastral cartographic limits are employed for objects definition. Next, objects are classified using decision trees combined with boosting techniques.  ...  Science and Innovation in the framework of the project CGL2010-19591/BTE.  ... 
doi:10.5194/isprsarchives-xxxviii-4-w19-259-2011 fatcat:42cobfxidfbfbewgssxpscqer4

Continuous Road Network Generalization throughout All Scales

Radan Šuba, Martijn Meijers, Peter Oosterom
2016 ISPRS International Journal of Geo-Information  
We propose a new data model together with a specific data structure where for all map objects, a range of valid map scales is stored.  ...  This paper further discusses the actual generalization options and algorithms for populating this data structure with high quality vario-scale cartographic content.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi5080145 fatcat:xjco64bkzjdz3blqinoss3rcmi


T. Hermosilla Gómez, L. A. Ruiz, J. A. Recio, M. Cambra López
2012 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
We present a study for the evaluation of the efficiency of context features in object-based land-use classification of urban environments using aerial high spatial resolution imagery and LiDAR data.  ...  Objects were defined by means of cartographic boundaries derived from the cadastral geospatial database.  ...  ACKNOWLEDGEMENTS The authors appreciate the financial support provided by the Spanish Ministry of Science and Innovation and FEDER in the framework of the projects CGL2009-14220 and CGL2010-19591/BTE,  ... 
doi:10.5194/isprsarchives-xxxviii-4-w19-105-2011 fatcat:5abn4azzzjd63p7qhmdygzqvaq

Can Graph Convolution Networks Learn Spatial Relations?

Azelle Courtial, Guillaume Touya, Xiang Zhang
2021 Abstracts of the International Cartographic Association  
In map generalisation, proximity graphs are often used to analyse urban structures. The most frequently used structures are variations of Delaunay triangulation (DT) presented in figure 1 .  ...  Then, GCN provide a classification of the nodes, but we are interested in classifying edges.  ... 
doi:10.5194/ica-abs-3-60-2021 fatcat:g7prrpuq2zh7jiq7ryl7qt3gpe

The role of least image dimensions in generalization of object in spatial databases

Tadeusz Chrobak
2010 Geodesy and Cartography  
the map, what helps to obtain unique results of line generalization; • measure of recognizability of black lines in the image -using a standard (elementary triangle) -helpful in obtaining unique result  ...  The paper presents the least admissible dimensions of black lines of spatial object images, according to Saliszczew, adjusted to the needs of database generalization.  ...  Acknowledgments This study was carried out as part of statutory research conducted by the Faculty of Mining Surveying and Environmental Engineering AGH University of Science and Technology in Krakow -No  ... 
doi:10.2478/v10277-012-0004-y fatcat:gx4vah3gjbconbw3kupxfoeu44

Deriving Multiple Representation Database: A Model Generalisation Approach

Jagadish Boodala, Onkar Dikshit, Nagarajan Balasubramanian
2019 Proceedings of the ICA  
The design of the model generalisation process which includes generalisation operators, classification hierarchies, geometric constraints, functional hierarchies and topological constraints are discussed  ...  The method for linking corresponding features in all these LoDs is shown and thus deriving multiple representation database.  ...  Structure of MRDB The Figure 1 demonstrates the structure of the target MRDB.  ... 
doi:10.5194/ica-proc-2-10-2019 fatcat:7ldzwyk5mffjljsyfk4myjmc2q

Assessing contextual descriptive features for plot-based classification of urban areas

T. Hermosilla, L.A. Ruiz, J.A. Recio, M. Cambra-López
2012 Landscape and Urban Planning  
Abstract: This paper presents a technique for land-use object-based image classification of urban environments that combines high spatial resolution multi-spectral imagery and LiDAR data.  ...  Assessing contextual descriptive features for plot-based classification of urban areas. Landscape and Urban Planning. 106(1):124-137.  ...  Plot-based image 73 classification is a particular object-based classification case that uses cartographical limits to 74 create objects.  ... 
doi:10.1016/j.landurbplan.2012.02.008 fatcat:3nywo7szffeatgtglzknoosroe

Improving settlement selection for small-scale maps using data enrichment and machine learning

Izabela Karsznia, Robert Weibel
2017 Cartography and Geographic Information Science  
Second, we use data enrichment based on supplementing information extracted from point-of-interest data in order to assign functional importance to particular settlements.  ...  Second, we use data enrichment based on supplementing information extracted from point-of-interest data in order to assign functional importance to particular settlements.  ...  The Authors also gratefully acknowledge Professor Wieslaw Ostrowski as well as M.Sc Ali Soleymani for their contributions to the discussions of this project.  ... 
doi:10.1080/15230406.2016.1274237 fatcat:65clbyoba5holdcfvrs7wefx6i

Navigation network construction method for survey points using cartographic urban environment information

Ignat N. Penshin, Larisa G. Evstratova, V.B. Kashkin, V. Kharuk, E. Loupian, Y.A. Maglinets, M.V. Noskov, L.G. Sverdlik, G.M. Tsibulśkii
2020 E3S Web of Conferences  
The goals and objectives of the research are presented, input data array to solve the problem is considered, the formulation of geometric conditions, structure and object implementation of the algorithm  ...  An algorithm for constructing links between panoramic shooting points, based on the surrounding area and linear objects territory information, is presented.  ...  using information about the road network. 1 .Fig. 1 . 11 ID (integer) -the number of a given line object (edge); 2.  ... 
doi:10.1051/e3sconf/202014902001 fatcat:nikhdjjfqjcbnhieaiernalwka
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