نتایج جستجو برای: classification of roads

تعداد نتایج: 21188786  

2001
Diarmuid O'Donoghue Adam Winstanley

In this paper we describe the application of analogical structure matching techniques to the domain of Geographic Information Systems (GIS). Automatic categorisation of map data into roads, buildings etc. is currently based on isolated objects. We describe how identifying analogous clusters of objects can categorise ambiguous polygons by introducing context into the categorisation process. We d...

2012
M. Mohammadi

Hyperspectral data has remarkable capabilities for automatic identification and mapping of urban surface materials because of its high spectral resolution. It includes a wealth of information which facilitates an understanding of the ground material properties. For identification of road surface materials, information about their relation to hyperspectral sensor measurements is needed. In this ...

2005
Dagrun Vikhamar Schuler Leif Kastdalen

* Corresponding author. Abstract – Impervious surfaces are mapped by applying regression tree classification on Landsat ETM+ data of Østfold County located in Southern Norway. Reference data consist of high precision polygon vector data of roads, parking lots and buildings for a selected region (Fredrikstad Municipality) within the study area. The output from the classification using the regres...

2010
C. Simler C. Beumier

A method is proposed for building and road detection on VHR multispectral aerial images of dense urban areas. Spatial and spectral features of segmented areas are classified using a 3-class SVM integrating some a priori and contextual information to handle unclassified patterns and conflicts. Geometrical object features and additional information improve the classification accuracy in the diffi...

2011
Ofer Amram Rebecca Abernethy Michael Brauer Hugh Davies Ryan W Allen

BACKGROUND Epidemiologic studies have linked exposure to traffic-generated air and noise pollution with a wide range of adverse health effects in children. Children spend a large portion of time at school, and both air pollution and noise are elevated in close proximity to roads, so school location may be an important determinant of exposure. No studies have yet examined the proximity of school...

Journal: :مجله علوم اعصاب شفای خاتم 0
fatemeh alipour shefa neuroscience research center, khatam alanbia hospital, tehran, iran

children need to learn to use the roads safety. road safety is essential for children’s freedom, development and exercise. when walking near a road it is a good idea to: 1. hold your child's hand. 2. don't let them run ahead. 3. look out for and encourage your child to be aware of hidden entrances or driveways crossing the pavement. 4. put reins on a younger child if they're not ...

Journal: :پژوهش های علوم و فناوری چوب و جنگل 0

in the past, forest road network designing was mainly done for its main goals-management and exploitation. this study was performed to pay attention for multilateral goals of forest roads, especially its role in forest villages’ development, in estakhr-posht of neka (6 villages) in series 2, section 6 of neka-zalem rood forest management plan. at first, constructed forest roads and suggested ro...

Journal: :Scientific notes of Taurida National V.I. Vernadsky University. Series: Technical Sciences 2020

2009
Adriano Mancini Emanuele Frontoni

Today, one of the main applications of multi-source aerial data is the city modelling. The capability to automatically detect objects of interest starting from LiDAR and multi-spectral data is a complex and an open problem. The information obtained can be also used for city planning, change detection, road graph update, land cover/use. In this paper we present an automatic approach to object ex...

2013
Ali Ozgun Ok

This paper presents an original unsupervised framework to identify regions belonging to buildings and roads from monocular very high resolution (VHR) satellite images. The proposed framework consists of three main stages. In the first stage, we extract information only related to building regions using shadow evidence and probabilistic fuzzy landscapes. Firstly, the shadow areas cast by buildin...

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