An efficient method to extract urban road based on the side trees from a high resolution remote sensing image is proposed. First, the high resolution remote sensing image was preprocessed so as to improve the extraction accuracy and reduce the difficulty of later treatment. Second, according to the reflective property of side trees and urban road, it is necessary to detect the side trees region...

This paper presents a methodology for recognizing, identifying and classifying built objects in dense urban areas, using a morphospectral approach applied to VNIR/SWIR hyperspectral image (HySpex). This methodology contains several image processing steps: Principal Components Analysis and Laplacian enhancement, Feature Extraction of segmented build-up objects, and supervised classification from...

creating a clear purposeful image of a city in the minds of its stakeholders –especially its residents- could attract more investors, tourists and immigrants. urban management has received a remarkable attention in recent years. one of the most interesting topics in urban management is the concept of identity and especially image. as well as organizations and persons we can depict images for ci...

Remote sensing technology has great potential for acquisition of detailed and accurate land-use information for management and planning of urban regions. However, the determination of land-use data with high geometric and thematic accuracy is generally limited by the availability of adequate remote sensing data, in terms of spatial and temporal resolution, and digital image analysis techniques....

The main goal of the present study was to implement a hybrid pattern of cellular automata model and particle swarm optimization algorithm based on TM and ETM+ imagery of landsat satellite from 1988 to 2010 for simulating the urban sprawling. In this study, an alternative model was implemented in two ways: the first method was based on two images (1988 and 2010) and the second one was based on t...

While the relationship between fractional cover of built features and the urban heat island (UHI) has been well studied, relationships of how spatial configuration (e.g., clustered, dispersed) of these features influence urban warming are not well understood. As buildings and paved materials are defining features of the urban environment it is important to explore the spatial pattern of these f...

Municipalities need accurate and updated inventories of urban vegetation in order to manage green resources and estimate the profit of urban forestry activities. Earlier studies using high resolution satellite images have shown that automatic tree detection in urban areas using traditional classification techniques remains a very difficult task. This is mainly due to intra-crown spectral variat...

Reconstruction Textured Urban 3D Model by Fusing Ground-Based Laser Range Image and CCD Image Huijing Zhao and Ryosuke Shibasaki In this paper, a method of fusing ground-based laser range image and CCD image for the reconstruction of textured 3D urban object is proposed. An acquisition system was developed to capture laser range image and CCD image simultaneously from the same platform. The reg...

Due to the inherent discrete nature of sensing, interpolation is a key activity in sensing. Interpolation in urban computing faces an unprecedented inference issue that was not present in large scale traditional sensing environments. Obstacles such as buildings and walls are prevalent in urban sensing, and it is important to consider them in urban sensing interpolation. This paper introduces an...