{"title":"Classification of X-band high resolution SAR images over urban areas: Markovian segmentation using Mellin transform","authors":"C. Tison, J. Nicolas, F. Tupin","doi":"10.1109/DFUA.2003.1219968","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219968","url":null,"abstract":"This paper presents a classification method devoted to high-resolution SAR amplitude images over dense urban areas. The classification method is based on a statistical approach involving a Markovian segmentation process. Our contribution is the introduction of Fisher distributions to fit urban area statistics at best. This implies the use of second kind statistics at best. This implies the use of second kind statistics built upon Mellin transform. The estimation process and the Markovian process are described here. Our goal is both to explain how these distributions can be used in a classification process and to discuss some results. The theory is explained and its validity regarding our data is presented. Then the discussion focuses on the application of this theory to real data.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131037247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Extraction of geographical entities from aerial images","authors":"M. Bicego, S. Dalfini, Vittorio Murino","doi":"10.1109/DFUA.2003.1219971","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219971","url":null,"abstract":"A complete system for extracting geographical entities from aerial images is proposed. The method treats separately the extraction of green areas, forestry and buildings from the extraction of roads. The former issue is addressed with a color segmentation followed by a region growing approach. The latter issue is addressed by a probabilistic contour tracking approach, able to follow roads in highly complex images showed that the proposed method is able to extract most part of the geographical entities present in the image, even in highly urbanized areas.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114471455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Different processing techniques to analyze high resolution hyperspectral data of urban areas","authors":"A. Galli, S. Malinverni","doi":"10.1109/DFUA.2003.1219951","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219951","url":null,"abstract":"Large-scale urban green areas management tasks, like determining tree species and their degradation, require high geometrical accuracy, as well as efficient data extraction techniques. Are multi or hyperspectral image types suited for these tasks? To answer this question, the authors examined accuracy and extraction techniques for DAIS 7915, a hyperspectral sensor. Remote sensing software packages that were used were: PCI OrthoEngine 8.2 satellite edition, ERMapper, Envi and for the object oriented classification Definiens eCognition 2.0.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133562899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Visibility analysis of man-made objects in SAR images","authors":"U. Soergel, U. Thoennessen, Uwe Stilla","doi":"10.1109/DFUA.2003.1219970","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219970","url":null,"abstract":"The increasing resolution of SAR data offers the possibility to utilize this data for a detailed scene interpretation in urban areas. Different SAR specific phenomena like foreshortening, layover, shadow and multipath-propagation burden the interpretation. A high resolution LIDAR DEM of an urban scene is incorporated to investigate the impact of the phenomena on the visibility of man-made objects by a SAR measurement from a given sensor trajectory and orientation. LIDAR data as ground truth is well suited for this task, because it contains elevation information of man-made and natural objects. Incoherent sampling of the DEM simulates shadow and layover areas. By a variation of viewing and aspect angles a large number of such simulations are carried out. From this set of segmentations the n best are determined with respect to the visibility of roads and buildings. Furthermore, the locations of total reflection or double-bounce scattering in the vicinity of buildings are determined.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125376236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimation of vehicle movement in urban areas from thermal video sequences","authors":"E. Michaelsen, Uwe Stilla","doi":"10.1109/DFUA.2003.1219967","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219967","url":null,"abstract":"In this contribution we describe a method to assess the activity of vehicles based on airborne image sequences taken by an infrared camera. At the resolution of approximately one-meter vehicles appear as elongated spots. Active vehicles often appear as a configuration of a dark and a bright spot close to each other, where the latter results from the warm motor hood. For the estimation of vehicle movement a precise measurement of the sensor movement is required. The sensor movement is inferred from image sequences. A robust estimation avoids outliers in the set of point correspondences. A special selection strategy prefers samples that promise estimation precision.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121671433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Lanari, O. Mora, M. Manunta, J. Mallorquí, P. Berardino, S. Guarino, G. Zeni, A. Pepe, Eugenio Sansosti
{"title":"A differential SAR interferometry approach for monitoring urban deformation phenomena","authors":"R. Lanari, O. Mora, M. Manunta, J. Mallorquí, P. Berardino, S. Guarino, G. Zeni, A. Pepe, Eugenio Sansosti","doi":"10.1109/DFUA.2003.1219957","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219957","url":null,"abstract":"This paper presents a new DIFSAR approach that allows us to detect and follow the temporal evolution of localized deformations. This approach, which is suitable for monitoring single buildings or structures, extends the capability of the algorithm referred to as SBAS technique, originally developed for investigating large scale deformation phenomena. The proposed technique relies on small baseline interferograms only, in order to preserve the DIFSAR capability to provide spatially dense deformation maps; moreover, it requires two different sets of DIFSAR interferograms generated at low (multi-look data) and high (single-look data) spatial resolution, respectively. The algorithm has been tested with data acquired by the European remote sensing (ERS) satellite relative to the area of the city of Napoli (Italy) and the results have been validated by using geodetic data.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122055508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Acquisition of public urban green areas for a green area management system of the city of Rostock by a combined approach using high resolution HRSC-A data and mobile mapping","authors":"G. Grenzdörffer, A. Wessner","doi":"10.1109/DFUA.2003.1219953","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219953","url":null,"abstract":"A combined analysis (eCognition and visual interpretation) of high resolution HRSC-Data and GPS-based mobile mapping has been successfully implemented for the public green area management GIS. Thereby, different strategies to obtain a digital object height model are investigated.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114453426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Urban land-cover classification: an object based perspective","authors":"A. Darwish, K. Leukert, W. Reinhardt","doi":"10.1109/DFUA.2003.1220004","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1220004","url":null,"abstract":"Up to date and accurate urban land cover information is needed in a variety of applications, e.g. urban planning and management. However, depending on traditional surveying tools, especially in large metropolitan cities, to produce such date is a time consuming and expensive task. This has initiated the need to classify remotely sensed data to extract urban land cover information. A new classification approach (object based) has been recently proposed and is currently being investigated. In this research the classification accuracy of object-based classification is tested against statistical classifiers using two images (Landsat and IRS). Results have shown that object based classification yields better classification results.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127861158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. McCormick, C. Lavalle, M. Kasanko, L. Demicheli, J. Barredo
{"title":"Mapping and modelling the impact of land use planning and management practices on urban and peri-urban landscapes in Europe: the MOLAND project","authors":"N. McCormick, C. Lavalle, M. Kasanko, L. Demicheli, J. Barredo","doi":"10.1109/DFUA.2003.1219996","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219996","url":null,"abstract":"The aim of the MOLAND (monitoring land cover/use dynamics) project is to provide up-to-date, standardised, comparable information on the past, current, and likely future land use development in Europe. The primary role of MOLAND is to provide scientific and technical support to the European Commission's various DGs, services, and associated bodies, which are responsible for the conception, development, implementation, and monitoring of EU policies related urban and regional development. Central to the MOLAND technology is the creation of a detailed GIS database of land use types, transport networks, and socio-economic statistics for each of the study areas, at a mapping scale of 1:25,000. An urban and regional model developed for MOLAND produces additional thematic layers in the MOLAND database, showing future land use development over a twenty-year forecasting period. Indeed, the MOLAND database has been used as the basis for the European Environment Agency's published environmental issue report 30, on the assessment of the spatial development of twenty-five European cities (European Environment Agency, 2002).","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115396369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analysis of laser pulses for gaining surface features of urban objects","authors":"B. Jutzi, Uwe Stilla","doi":"10.1109/DFUA.2003.1219949","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219949","url":null,"abstract":"In this paper we describe investigations for a detailed analysis of laser pulses. Different techniques for measurement of time resolved laser pulses are presented. An experimental system for fast recording of signals was built up. For principal investigations a test board with urban materials was measured by single photon detection technique and visualized by a data cube. Based on this spatio-temporal data features are extracted to describe macro, meso, and micro structures. The pictures are depicted by gray value images. The limitation of an airborne system based on single photon detection is discussed.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116820420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}