Quest of fool proof methods for extracting various urban features from high resolution satellite imagery with minimal human intervention has resulted in developing texture based algorithms. In view of the fact that the textural properties of images provide valuable information for discrimination purposes, it is appropriate to employ texture based algorithms for feature extraction. The Gray Leve...

â  natural disasters are known as one the most important factors in demolition human settlement. so study of impacts of natural disasters one human settlements specially cities are an important for urban planners iran had been faced with natural disasters specific earth quake because of its geographical position (its located on world earth quake belt). some earth quakes cause many human, financ...

Due to the rapid developments in the field of computer graphics tools allowing for the real time visualisation of complex 3D data are becoming available also for standard applications. One example is the visualisation of urban landscapes within GIS. This type of application additionally profits from the fact, that meanwhile the required urban models can be collected area covering and efficientl...

The growth of urban populations in recent decades requires physical elements such as residential, commercial and cultural spaces and the development of infrastructure such as streets and highways, which will open a new horizon to the historic texture of cities and how to preserve and restore them. The development of new urban textures along with the lack of attention to the historic texture and...

lkaditional multispectral classification methods have not provided satisfying results for treed area extraction from highresolution digital imagery because trees are characterized not only by their spectral but also by their textural properties. Treed areas in urban regions are especially dificult to extract due to their small area. Many other urban objects, such as lawn and playgrounds, cause ...

Woodland detection in an urban environment was conducted using Ikonos multispectral images over the city of Sherbrooke (Quebec, Canada). The detection process is composed of two parts. The first is a combination-based classification that uses radiometric and color-texture information. The color-texture feature is derived by integrative scheme using the wavelet transform. The second part is an o...

This paper studies the applicability of ERS-1 and JERS SAR-images to land-use classification. Different factors affecting classification accuracy like environmental conditions of study area, speckle filtering, spatial averaging, texture measures and different ways to use temporal images are discussed. Classification experiment employing three principal component images computed from median filt...

In this paper, a novel approach based on edge line segments and texture is presented for urban change detection. First, we extract edge line segments based on Canny edge detector and line-support regions based on gradient orientation, Then changed edge line segments are found and grouped into clusters as potential changed regions which are finally validated using the difference of pixels and te...