Visualization is the graphical presentation of information, with the goal of improving the viewer’s understanding of the information contents. As today’s world is getting richer in information, visualization of the information is important for effective communication and decision making. In this study, generation of a 3D city model in CAD environment and its use in a spatial decision support sy...

In this paper, a new method is proposed for unsupervised speckle level estimation in synthetic aperture radar (SAR) images. It is assumed that fully developed speckle intensity has a Gamma distribution. Based on this assumption, estimation of the equivalent number of looks (ENL) is transformed into noise variance estimation in the logarithmic SAR image domain. In order to improve estimation acc...

In this paper we describe Gilded Gait, a system that changes the perceived physical texture of the ground, as felt through the soles of users’ feet. Ground texture, in spite of its potential as an effective channel of peripheral information display, has so far been paid little attention in HCI research. The system is designed as a pair of insoles with embedded actuators, and utilizes vibrotacti...

Experiments were conducted to see the effects of a set of factors on the Resilient backpropagation (Rprop) artificial neural network classification of an Indian urban environment using IRS-IC satellite data. Factors investigated were sample size, number of neurons in hidden layers and number of epochs. The effect of including texture information in the form of neighbourhood information and grey...

The automatic extraction of traffic data from digital images is a challenging task and implies an extensive pre-processing of this data. An important information which simplifies the further extraction of traffic objects is the recognition of active traffic regions. A possible approach is masking of streets using platform attitude and position together with a digital street map (i). But often s...

Effective conservation and management of natural resources requires up-to-date information on the land cover (LC) types and their dynamics. Multi-resolution remote sensing (RS) data with appropriate classification strategies have been used to categorise land use and land cover (LULC) of a landscape. RS data coupled with other important environmental layers (both remotely acquired or derived fro...

3-D geo-information is essential for many urban related applications. Point cloud and mesh are two common representations of the surface. Compared to point data, possesses indispensable advantages, such as high-resolution image texture sharp geometry representation. Semantic segmentation, an important way obtain geo-information, however, mainly performed on data. Due complex representation lack...

Texture recognition of synthetic aperture radar (SAR) images, an important technique in the remote sensing area, has been deeply interested in the past decade. It is a key method to analyze this special case of images in practical applications. Watershed transform seems to be a proper method utilized to segment images. However, speckle noise in SAR images and the low resolution of edges make th...

ground-based laser range finder have got more concerned. In our previous research, a method of automated In this paper, a method of fusing ground-based laser registration of two views of laser range image was range image and CCD image for the reconstruction of proposed [4,51, and showed promising results with some textured 3 0 urban object is proposed. An acquisition preliminary experiment. The...

Most remote sensing studies of urban areas focus on a single scale, using supervised methodologies and very few analyses the “neighborhood” scale. The lack multi-scale analysis, together with scarcity training validation datasets in many countries lead us to propose fast unsupervised method for characterization areas. With FOTOTEX algorithm, this paper introduces texture-based characterize at t...