Location prediction has attracted much attention due to its important role in many location-based services, such as food delivery, taxi-service, real-time bus system, and advertisement posting. Traditional prediction methods often cluster track points into regions and mine movement patterns within the regions. Such methods lose information of points along the road and cannot meet the demand of ...

Model-Based Optimization (MBO) is a paradigm in which an objective function is used to express both geometric and photometric constraints on features of interest. A parametric model of a feature, such as a road, a building, a river or the underlying terrain, is extracted from one or more images by automatically adjusting the model's state variables until a minimum value of the objective functio...

Urban and road planners must take right decisions related to urban traffic management and controlling noise pollution. Their assessments and resolutions have important consequences on the annoyance of population exposed to road-traffic-noise and controlling other environmental pollutants (e.g. NOx or ultrafine particles emitted by heavy vehicles). One of the key decisions is the selection of wh...

Dinghai district, the central area of Zhoushan, Zhejiang Province, lies on the biggest island of Zhoushan Archipelago. Owing to its marvelous island feature, Zhoushan has been attracting more and more people to Island Tourism, Agricultural Tourism and Culture Tourism. Shuangxiao Road is a transportation line through suburban area connecting the south to the north. However, the vicinity of Shuan...

The road network is a key resource of enormous value for the nation. A satellite image is covering a large area instantaneously and can thereby be a source of road traffic information in a snapshot of time. Manual vehicle counting is not realistic, but automatic image analysis methodology based on pattern recognition is a promising alternative. The “Road Traffic Snapshot” project (2006‐2007) sh...

This paper describes the analysis and identification of road surfaces three dimensional distress characteristics by means of a three-line laser sensor. A laser-based vehicle-mounted imaging system simultaneously evaluates several conditions of road surface distress, such as ruts, cracks, and surface roughness. The three-dimensional feature extraction is done by a combination of two measuring te...

Road sign detection is an important for regulating the traffic. In this paper oversegmentation technique is used for the detection and recognition of a road sign with the integration of shape analysis. The main focus is on the implementation and efficiency aspect of this technique. There is a detailed analysis of oversegmentation has been shown. This proposed algorithm can be used as a part of ...

Nowadays, there have substantive research on road extraction automatically form RS images, restricted by low understanding level of images, the automatically extracting method is not robust, and a great many errors existed. The LSB-Snake model is an effective method to extract linear object semi-automatically, but needs manual input of road character for extraction, and not robust while the ini...

hyperspectral sensors provide a large number of spectral bands. this massive and complex data structure of hyperspectral images presents a challenge to traditional data processing techniques. therefore, reducing the dimensionality of hyperspectral images without losing important information is a very important issue for the remote sensing community. we propose to use overlap-based feature weigh...

The classical approach for road network generalization consists of producing multiple maps, for a different scale or purpose, from a single detailed data source and quite often roads are represented by line objects. Our target is the generalization of a road network for the whole scale range from large scale, where roads are represented as area objects, to mid and small scales, where roads are ...