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Since June 2006 the Remote Sensing Laboratory (RSLab) of the Technical University of Catalonia is carrying on a subsidence monitoring activity in Salient, a village in the central Catalonia. The project, in collaboration with the Cartographic Institute of Catalonia (ICC), aims at studying the deformation phenomenon induced by salt mining extraction of the past years using a ground-based SAR sensor...
Nightsat is a concept for a satellite sensor capable of mapping of the location, extent, and brightness of nighttime lights at a spatial resolution suitable for the delineation of primary features within human settlements worldwide. Based on requirements from several fields of scientific inquiry, Nightsat should be capable of producing a complete cloud-free global map of lights on an annual basis...
With increasing resolution of remote sensing data more and more details and structures of landscape objects are observable. An interpretation of such images requires the use of improved methods for object extraction. In this paper several approaches on this topic are presented. The basis of all approaches is an explicit knowledge representation with semantic nets. For different applications concept...
Previously, several countries have performed countrywide laser scanning, but mainly for DTM purposes. This paper discusses the possibility to use countrywide collection of laser data, possibly multi-temporal laser data, for updating Topographic and forest databases, especially concerning the detection of the changed buildings or trees and reconstructing them from laser scanner data. Knowledge obtained...
The digital imaging and remote sensing image generation (DIRSIG) model is an established, first-principles based scene simulation tool that produces synthetic multi-spectral and hyperspectral images from the visible to long wave infrared (0.4 to 20 microns). Significant enhancements such as spectral polarimetric and active light detection and ranging (lidar) models have also been incorporated into...
This paper summarizes and combines the recent papers by two of the authors and demonstrates a potential use of a sensor-based real-time monitoring and condition assessment system for urban lifeline infrastructure. Rapid detection of damage caused by natural and manmade hazards enables an efficient and effective emergency response minimizing human and property losses as well as societal disruption...
This paper is devoted to the exploitation of remotely sensed and geographic information system (GIS) data in urban areas to obtain a rapid damage assessment after disastrous events, like earthquakes, occurred. The basic idea is that the joint use of these two sources of information will provide a better understanding of the urban scene and allow a faster characterization of the damage patterns, extensions...
With all the exciting advances in sensor fusion and data interpretation technologies in recent years, including co-registration, 3-D surface reconstruction, object recognition, spatial reasoning, and more, high-quality detailed and precise segmentation of remote sensing spectral images remains a much needed key component in the comprehensive analysis and understanding of surfaces. Urban surfaces are...
Many applications in urban planning and analysis require the position and extent of buildings, the so-called building footprint. Cadastral maps acquired by ground based surveying are often not up-to-date or may not be available at all. Airborne laser scanning, on the other hand, offers the possibility to detect the roof outlines in an automated manner. This subject has been researched in the previous...
This paper addresses the problem of automatically extracting the main road network in a dense urban area from a very high resolution optical satellite image using a variational approach. The model energy has two parts: a phase field higher-order active contour energy that describes our prior knowledge of road network geometry, i.e. that it is composed of elongated structures with roughly parallel...
This paper extends two single polarization multi-baseline interferometric SAR spectral analysis techniques to the fully polarimetric configuration. These new algorithms enhance the height estimation of scatterers by calculating optimal polarization combinations and allow to determine their physical characteristics. First experimental results show the retrieval of building height and their polarimetric...
Recent research endeavors in civil engineering have attempted to apply remote sensing technology to urban damage estimation following large-scale urban disasters. Different from a general change detection problem, wherein categorical or mostly binary change states ('changed' or 'unchanged') are associated with pixels, urban structural damage is usually described on a per-object basis using qualitative...
Standard methods for estimating poverty rates produce aggregated results for individual countries or administrative units. There are a wide number of potential applications for disaggregated grids of population numbers in poverty. We have investigated the possible use the brightness of satellite observed nighttime lights along with along with gridded population count data in the estimation of poverty...
This paper presents a new context-based damage detection approach using high-resolution optical satellite images. To exploit rich information represented in such high-resolution images, the proposed approach is designed to learn the image context based on the combination of the edge-based textures, the multi-spectral gray tone, and the spatial relationship formulated through a morphological scale-space...
Very high resolution images are particularly well adapted to damage assessment methodology in urban area because on one hand it allows an analysis focused on the buildings solely through an object-oriented analysis, and on the other hand it permits a quantitative evaluation of this damage assessment using a visually established ground truth. We propose in this paper a method of damage assessment that...
The objective of the geoland is to develop and demonstrate reliable, affordable and cost efficient European geo-information services, supporting the implementation of European directives and their national, regional and local implementation, as well as European and international policies. The observatory for spatial planning (OSP) generates products and services based on earth observation (EO) data,...
The objective of this paper is the presentation of a methodology for airborne hyperspectral image analysis of semi-urban areas. Urban areas present challenging problems for remote sensing analysis, given the diversity and complexity of theirs land covers. This study is necessary for mapping biotopes and for a detailed assessment of the different types of manmade materials abundance in the urban space,...
A global and consistent characterization of land use and land change in urban and suburban environments are crucial for many fundamental social and economic science studies and applications. Here, we present for the first time a dense sampling method (DSM) that uses satellite scatterometer data at a coarse resolution (~12 km) to delineate urban and intra-urban areas at a much higher resolution (~1...
This paper assessed the advantages of analyzing and managing green space patterns and environmental impacts based on Remote Sensing (RS) and Geographical Information System (GIS). For this purpose, taking Xuzhou City as an example, signatures of green space and vegetation indices are chosen to extract vegetation information from remotely sensed images and pattern indices are selected to simulate and...
The evolution of Bucharest during the last 40 years showed spectacular changes, as a result of the socialist urban policy. The paper investigates the leading transformation of the urban structures, comparing declassified intelligence imagery (2002) CORONA KH 7 (0.60-1.20 m spatial resolution) from 1966 and IKONOS pansharpened image from 2002 (1 m spatial resolution). We tried to use an image segmentation...
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