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

Information extraction from high resolution SAR data for urban scene understanding 基于高分辨率SAR数据的城市场景信息提取

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219969

M. Quartulli, M. Datcu

{"title":"Information extraction from high resolution SAR data for urban scene understanding","authors":"M. Quartulli, M. Datcu","doi":"10.1109/DFUA.2003.1219969","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219969","url":null,"abstract":"The high complexity and the increased importance of geometry in growing resolution synthetic aperture radar (SAR) data in urban environments poses a limit on the usability of lattice-based scene models. Geometrical models based on marked point processes can be employed to provide better descriptions of the scene. A Gibbs potential based on a hierarchical Bayesian description of the direct model of the acquisition is defined on the process: an a-priori measure of plausibility for the scene takes into account interactions between scene objects, while a Bayesian likelihood term is based on the decomposition of scene objects into basic elements and on their mapping in the data space. Multiple reflections of the radar signals are considered and exploited. The resulting detectability measure is compared to a hypothesis in a likelihood ratio. The resulting posterior potential is optimized by Monte Carlo methods. The resulting algorithm is applied on a diverse set of single submeter resolution SAR intensity images on urban scenes, providing descriptions of the 3-d structure of the imaged urban areas in terms of separate objects.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"2 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":"131908358","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: 10

Model-based processing of multifrequency polarimetric SAR images of urban areas 基于模型的城市多频极化SAR图像处理

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219955

Tiziana Maci-L, Pierfrancesco Lombardo, Marc Meloni, Absiracf

引用次数: 6

Automatic classification of land cover with high resolution data of the Rio de Janeiro City Brazil 巴西里约热内卢市土地覆盖高分辨率自动分类研究

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219981

L. Rego, B. Koch

{"title":"Automatic classification of land cover with high resolution data of the Rio de Janeiro City Brazil","authors":"L. Rego, B. Koch","doi":"10.1109/DFUA.2003.1219981","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219981","url":null,"abstract":"The city of Rio de Janeiro, with more than 5 million inhabitants, has two big mountains in its centre with natural Atlantic rain forest. The growth of the city around these two mountains puts pressure on this forest. This endangers the remaining Atlantic forest (one of the most endangered forest types of the world) and also causes landslides and mud flows. The city administration carried out a land-cover forest classification with visual interpretation using merged LANDSAT and SPOT data. This work produced a compatible thematic map in the scale 1:50,000. It took about 36 months of intensive work and high costs to produce these maps. The scale of these maps permit to have a global vision of the land change cover but unfortunately do not correspond with the geographic information system of the city, which works with a scale of 1:10,000. The city searched for options to make this work automatically and quickly to get information for planning and to propose solutions. In order to solve this problem high resolution satellite data and automatic classification of land-cover classes are needed. Consequently, images as IKONOS (multispectral with four bands and 4 meters) need to be used to produce a classification, with a scale corresponding to the GIS of the city. The automatic classification of land-cover classes provides a relatively rapid classification. Pixel based classification with high resolution data show some problems because the level of information in the data produce a lot of incorrect classified pixels. The solution to perform this classification uses the new approach that makes one \"pre-classification\" (classification), which transforms the pixel information in objects as well as the feature in the vector representation.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"38 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":"114424280","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: 36

Fusion of LIDAR data and aerial imagery for automatic reconstruction of building surfaces 融合激光雷达数据和航空图像用于建筑物表面的自动重建

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219962

M. Huber, W. Schickler, S. Hinz, A. Baumgartner

引用次数: 43

Ecological evaluation of urban biotope types using airborne hyperspectral HyMap data 基于航空高光谱HyMap数据的城市生物群落类型生态评价

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219950

U. Heiden, K. Segl, S. Roessner, H. Kaufmann

{"title":"Ecological evaluation of urban biotope types using airborne hyperspectral HyMap data","authors":"U. Heiden, K. Segl, S. Roessner, H. Kaufmann","doi":"10.1109/DFUA.2003.1219950","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219950","url":null,"abstract":"Urban biotype mapping is the most important database for ecological urban planning. The mapping contains complex information about the outfit and structure of biotopes in the form of descriptive parameters. However, quantitative parameters are limited to a manual estimation of the five levels of surface sealing. Therefore, municipal authorities are interested in quantitative parameters for an advanced GIS-based evaluation of urban biotopes. In this study airborne hyperspectral HyMap data are analyzed to identify urban surface materials based on their material specific reflectance features. The small urban structures and the high spectral information content of the hyperspectral image data require advanced methods for surface identification. Thus, a combined classification and unmixing approach was applied [S. Roessner et al., 2001]. The resulting dataset includes surface abundances of spectrally different materials and forms the basis for the derivation of quantitative parameters for each biotope, such as the weighted surface sealing and the portion of overbuilt area. Spatial and statistical analyses show that the results represent a contribution towards an improved quantitative evaluation of biotopes. In this way valuable remote sensing based parameters can be integrated into ecological urban planning processes.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"69 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":"130954295","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: 24

QuickBird high resolution satellite data for urban applications QuickBird高分辨率卫星数据用于城市应用

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219946

Volpe F, Rossi L

引用次数: 24

Change detection of structures in the earthquake hazard zoning map of Eskisehir City, Turkey, by using satellite images 利用卫星图像检测土耳其埃斯基谢希尔市地震危险区划图中结构的变化

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219982

H. A. Nefeslioglu, M. Tun, C. Ayday, R. M. Goktan

{"title":"Change detection of structures in the earthquake hazard zoning map of Eskisehir City, Turkey, by using satellite images","authors":"H. A. Nefeslioglu, M. Tun, C. Ayday, R. M. Goktan","doi":"10.1109/DFUA.2003.1219982","DOIUrl":"https://doi.org/10.1109/DFUA.2003.1219982","url":null,"abstract":"Geological and geotechnical studies play a key role in the successful planning of urban areas. The importance of these studies gains more importance for countries which are under the threat of natural hazards, such as earthquakes. The _zmit earthquake of 17 August 1999 has shown that the interpretation and analyses of geological and geotechnical data is also important for the planning of the urban areas of Turkey. The city of Eskisehir has also suffered from the _zmit earthquake. Therefore, it was found necessary to conduct such an investigation in the Eskisehir urban area. To achieve this goal, geological and geotechnical studies were started soon after the earthquake. Earthquake is a phenomenon which is related to the amplification of earthquake energy, liquefaction and occurrence of fault zones. Therefore, the studied area was subdivided into four different classes according to their soil types and their convenience for construction purposes. Change detection of these area were then performed by using the satellite images of the years 1987 and 1999, related with the structures occupied in these areas. Finally, an interpretation was made for the whole studied area and structural changes in each class were determined for the analyzed years.","PeriodicalId":308988,"journal":{"name":"2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas","volume":"11 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":"122012699","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: 9

Infrastructure analysis from high resolution SAR and InSAR imagery 基于高分辨率SAR和InSAR图像的基础设施分析

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219993

Andrew J. Bennett, David Blacknell

引用次数: 33

Evaluation of the quality of panchromatic/multispectral fusion algorithms performed on images simulating the future Pleiades satellites 在模拟未来昴宿星团卫星的图像上进行全色/多光谱融合算法的质量评估

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219965

F. Laporterie-Déjean, C. Latry, H. De Boissezon

引用次数: 7

Extraction of urban features in Strasbourg, France: comparison of two fusion algorithms for Quickbird MS and pan data 法国斯特拉斯堡城市特征提取:Quickbird MS和pan数据两种融合算法的比较

2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas Pub Date : 2003-05-22 DOI: 10.1109/DFUA.2003.1219988

C. Weber, T. Ranchin, A. Puissant, A. Serradj

引用次数: 6