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Nowadays different countries have used remote sensing technology to get physical parameters of the objects without direct physical contact with them. Using remote sensing sensors, huge amount of data is available from the Earth surface which is used in different sustainable developing programs. Due to the various available operating sensors and valuable unique information acquired by each type of...
Remote Sensing (RS) has been viewed as the one of the most effective tools for environment monitoring, urban resources and environment investigation, change detection and urban growth analysis in mining industrial cities. Firstly, the framework and structure of applying multi-source RS information to environment monitoring of mining industrial cities is proposed based on the general methodologies...
Urban analysis based on remotely sensed data is commonly performed using high-resolution optical images, acquired with new generation high resolution satellites. This assures a good detail level for cartographic issues, but sometimes these data show not enough spectral richness, preventing the scientific and commercial user from deriving effective classifications or environmental phenomena mapping...
Last few decades witness a dramatic increase in city population worldwide associated with excessive urbanization rates. This raises the necessity to understand the dynamics of urban growth process for sustainable distribution of available resources. Cellular automata, an artificial intelligence technique composed of pixels, states, neighborhood and transition rules, is being widely implemented to...
The aim of this work is to propose a refined approach to urban object recognition and extraction exploiting a priori information about geometrical features of the urban objects. In particular, the proposed procedure shows that it is possible to improve the characterization of elements of the urban scene by assuming that they fit to some geometrical models. Advantages includes the possibility to manage...
From the MOLAND experience until the most recent developments in GSELand the Urban Atlas is much closer to become a reality after some years of discussion. Through all these projects developments a set of specifications have been consolidated and implemented as well as a taxonomy to classify the different land uses. The involvement of the different users has also been important to help define and...
Izmit earthquake (Mw 7.4) occurred on the north Anatolian Fault Zone (NAFZ) in the northwest of Turkey on 17 August 1999 and resulted in severe damage to the urban areas of Izmit, Adapazari (Sakarya), Golcuk and Yalova. A semi-variogram approach was used to quantify earthquake-induced spatial variation and as a result, identify severely damaged regions in Adapazari inner city. The inner city of Adapazari...
Sensor fusion has been an active area of research in the field of computer vision for over two decades. Early approaches to sensor fusion were focused on the recovery of the three-dimensional scene structure from two short baseline cameras which was considered to be similar to the human vision system. Recently with the availability of sensors of various modalities, computer vision researchers have...
This paper reports on monitoring land cover in the urban and sub-urban area of Rome, Italy, by multi-temporal ERS 1-2 SLC SAR images. The identification of the SAR image parameters, including backscattering, degree of interferometric coherence and textural pixel-based features to be exploited in classification, is discussed. The information extracted from the SAR images is fused and processed by a...
The objective of this study is to put forth mapping potential of Orbview-3 panchromatic image in Zonguldak test-field. Panchromatic image of Orbview-3 with 1 m GSD (Ground Sampling Distance is selected for the study since OrbView-3 is a new-generation and low-cost high resolution remote sensing satellite). Zonguldak is an important test-field for geometric and semantic analysis of geospatial applications...
Because of the trade off between spatial resolution and spectral resolution in satellite imagery, it is often desirable to fuse lower resolution multispectral imagery with a high-resolution panchromatic image in order to obtain an image with the spectral resolution and quality of the former and the spatial resolution and quality of the latter. In an urban setting, the spectral information can be used...
The goal of this study is to detect and map the land use and land cover changes of the rocky flats nuclear facility between 2002 and 2005, using high resolution QuickBird satellite images provided by DigitalGlobe. The dataset consists of four multi-spectral QuickBird images, one image per year, with a spatial resolution of 2.4 meters. The evolution of the changes that occurred between these years...
Over than three_ forth of lands in Iran are located in arid or semi arid environment. There are 60 playa in Iran which covers about 67250 square kilometers. Major part of human settlements in such a areas are subjected to the problems such as desertification, sand blowing, salinization, vegetation deterioration and erosion. Sustainable management of such lands especially for areas which are near the...
This research investigates the capability of the multitemporal RADARSAT Fine-Beam C-HH SAR imagery for land use/land-cover mapping and change detection in the rural-urban fringe of the Greater Toronto Area (GTA). Five-date RADARSAT fine-beam SAR images were acquired during May to August in 2002. One scene of Landsat TM imagery was acquired in 1988 for change detection. The major land use/land-cover...
Urban remote sensing predominantly focuses on positive growth patterns. Urban planning mainly concentrates on the investigation of cities as an administrative unit. In this paper the phenomenon of a negative urban growth is investigated within an urban region for two selected areas: one selected test area is the gradient from inner urban districts to peri-urban communes, the other selected area is...
This paper shows through a collection of results, some current trends and issues in the research field of man-made object extraction and scene reconstruction especially in the scope of 3D city modelling from aerial surveys.
Usually, 3D building reconstruction is realized by systems, which either apply constructive solid geometry (CSG) or boundary representation (B-Rep) to model the respective buildings. We present an alternative approach based on cell decomposition, which can be used efficiently for building reconstruction at different scales. Firstly, building polyhedrons are constructed from airborne LIDAR data and...
In this paper, a methodology developed for the detection of significant changes for cartographic purposes on a set of satellite images is applied to a series of three SPOT images. The detection of territorial changes is a keystone for the assistance to the scheduling of the cartographic updating projects. For this reason the Institut Cartografic de Catalunya (ICC) develops a project aimed to the detection...
This paper presents a method for automatic extraction and characterisation of vegetation structures (such as trees, shrubs, hedges or lawns) in high density urban areas. We present a hierarchical strategy to extract, analyze and delineate vegetation areas according to their height. Spectral indices are used to detect urban vegetation areas. We differentiate lawns from treed areas by computing a texture...
The purpose of this work is, starting from a close tracking of basic electromagnetic processes, to propose a simulator enabling a better understanding of the radar images of urban areas. An improved understanding of the radar images formation processes in this case should lead to a better knowledge of the potentialities of the SAR imagery of urban areas. With the rapid development of computer, numerical...
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