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Snow avalanche occurring in a micro-climatic condition causing hydro-geo (Hydrological and geological) hazard to the deployed armed forces and nearby inhabitant to the North Western Himalaya about 300...
The accurate, detailed and up-to-date road information is highly essential geo-spatial databases for transportation, smart city and other related applications. Thus, the main objective of this researc...
As the high resolution satellite images have become easily available, this has motivated researchers for searching advanced methods for object detection and extraction from satellite images. Roads are...
OpenStreetMap (OSM) is the largest spatial database of the world. One of the most frequently occurring geospatial elements within this database is the road network, whose quality is crucial for applic...
Road generalization is not only helpful to simplify complicated road networks but can also satisfy the needs of reasonable display of roads under varying scales, thus offering basis for updating and g...
The objective of this research is the automatic extraction of the road network in a scene of the urban area from a high resolution digital surface model (DSM). Automatic road extraction and modeling f...
This paper presents an automatic methodology for spatial road network extraction from multi spectral remote sensing images with floating car data. Basically, it can be divided into two steps. In the f...
The growing neuron gas (GNG) algorithm is an excellent self-organization tool, which efficiently combines the graph and neural network techniques. The gas formation starts with two connected neurons a...
Navigable geographic framework data functions as the geo-spatial referencing framework that integrates traffic maneuver and POI(s). The main difference between the navigable geographic framework and...
The management of existing road networks and their cost-efficient maintenance is of increasing importance, especially there where networks are almost completed. Road monitoring for the assessment of ...
High-resolution digital terrain models (DTM) provide accurate descriptions of our surrounding with respect to its 2.5D shape. Besides that existing cartographic databases provide detailed 2D represe...
Automatic road map updating has been one of the difficult and important research topics in the community of geomatics. An operational road map updating system should include three key components: the ...
This paper deals with automatic road extraction from SAR imagery. In general, automatically extracted road networks are not complete, i.e., gaps remain in the erxtracted network. Especially in SAR im...
One of the factors in planning forest roads is average skidding distance which is calculated in projects from the map, according to forest road density, however it has a low accuracy. In this study re...
Average skidding distance for forest stands is an important parameter for the determination of the optimum road density and spacing. In this research the real mean skidding distance and theoretical me...

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