2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas最新文献

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Classification of X-band high resolution SAR images over urban areas: Markovian segmentation using Mellin transform 城市x波段高分辨率SAR图像分类:基于Mellin变换的马尔可夫分割
C. Tison, J. Nicolas, F. Tupin
{"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}
引用次数: 3
Extraction of geographical entities from aerial images 航空影像中地理实体的提取
M. Bicego, S. Dalfini, Vittorio Murino
{"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}
引用次数: 6
Different processing techniques to analyze high resolution hyperspectral data of urban areas 不同处理技术对城市高分辨率高光谱数据的分析
A. Galli, S. Malinverni
{"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}
引用次数: 3
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 利用高分辨率HRSC-A数据和移动制图相结合的方法,为罗斯托克市绿地管理系统获取公共城市绿地
G. Grenzdörffer, A. Wessner
{"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}
引用次数: 1
Estimation of vehicle movement in urban areas from thermal video sequences 基于热视频序列的城市车辆运动估计
E. Michaelsen, Uwe Stilla
{"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}
引用次数: 5
A differential SAR interferometry approach for monitoring urban deformation phenomena 城市变形现象监测的差分SAR干涉测量方法
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}
引用次数: 8
Visibility analysis of man-made objects in SAR images SAR图像中人造物体的可见度分析
U. Soergel, U. Thoennessen, Uwe Stilla
{"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}
引用次数: 47
Urban land-cover classification: an object based perspective 城市土地覆盖分类:基于对象的视角
A. Darwish, K. Leukert, W. Reinhardt
{"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}
引用次数: 21
Land cover classification of urban and sub-urban areas via fuzzy nearest-mean reclustering of SAR features 基于SAR特征模糊最接近均值重新聚类的城市和城郊土地覆盖分类
B. Aiazzi, L. Alparone, S. Baronti
{"title":"Land cover classification of urban and sub-urban areas via fuzzy nearest-mean reclustering of SAR features","authors":"B. Aiazzi, L. Alparone, S. Baronti","doi":"10.1109/DFUA.2003.1219958","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219958","url":null,"abstract":"This paper describes a nonparametric algorithm based on fuzzy-reasoning concepts and suitable for land use classification, either supervised or unsupervised, starting from pixel features derived from SAR observations. Pixel vectors constituted by features calculated from the backscattering coefficients) in one or more bands and/or polarizations are clustered. At each iteration step, pixels in the scene are classified based on the minimum attained by a weighted Euclidean distance from the centroid representative of each cluster. Upgrade of centroids is iteratively obtained both from the previously obtained classification map and by thresholding a membership function of pixel vectors to each cluster. Such a function has been derived based on entropy maximization of the resulting clusters. To yield the weighted distances from a pixel vector, its features are weighted by means of progressively refined coefficients, whose calculation still relies on the membership function through a least squares algorithm. Refinements of the feature-dependent weights are introduced to optimize individual classes. Possible \"a priori\" knowledge coming from ground truth data may be used to initialize the procedure, but is not required. Experimental results carried out on SIR-C SAR data of the city of Pavia and its surroundings demonstrate the usefulness of a nonparametric classification to discriminate land use in general, and urban and built-up areas in particular, from SAR observations analogous to those which are routinely available from EnviSat. A training set, even of very small size, may be utilized. However, its knowledge affects initialization only and is unnecessary for the iterative refinement procedure. Pixel-based classification attains almost 70% accuracy without any postprocessing.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"43 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":"128263363","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}
引用次数: 4
Analysis of laser pulses for gaining surface features of urban objects 获取城市物体表面特征的激光脉冲分析
B. Jutzi, Uwe Stilla
{"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}
引用次数: 15
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