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Joint Urban Remote Sensing Event 2013最新文献

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Dynamic change analysis of urban sprawl based on remote sensing and GIS — A case study of Jiangning, Nanjing, China 基于遥感和GIS的城市蔓延动态变化分析——以南京市江宁市为例
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550698
Feng Li, Du Peijun
{"title":"Dynamic change analysis of urban sprawl based on remote sensing and GIS — A case study of Jiangning, Nanjing, China","authors":"Feng Li, Du Peijun","doi":"10.1109/JURSE.2013.6550698","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550698","url":null,"abstract":"Over the past 30 years, urban development in China has been remarkable. Land development and consumption have been out of control and have kept expanding out of order, especially to marginal areas of some metropolises. Therefore, dynamic change monitoring of urban sprawl is necessary. Taking Jiangning District, Nanjing City as a research area, this paper demonstrates the dynamic change of urban sprawl by Landsat MSS/TM data. Furthermore, three-dimensional indicators are considered based on the actual situation of urban sprawl in Jiangning in order to better reflect the nature of sprawl. The result indicates that the trend of urban sprawl is significant. From 1979 to 1988, the phenomenon of disorder and scattered construction was obvious in Jiangning; from 1988 to 1997, sprawl is more significant in the process of suburbanization. Leapfrog development is significant; from 1997 to 2003, the land became fragmented, resulting in a broken landscape.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121910668","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: 2
Exploiting earth observation in sustainable urban planning and management — The GEOURBAN project 利用地球观测进行可持续城市规划和管理- GEOURBAN项目
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550660
Thomas Esch, H. Taubenbock, N. Chrysoulakis, H. Duzgun, A. Tal, C. Feigenwinter, E. Parlow
{"title":"Exploiting earth observation in sustainable urban planning and management — The GEOURBAN project","authors":"Thomas Esch, H. Taubenbock, N. Chrysoulakis, H. Duzgun, A. Tal, C. Feigenwinter, E. Parlow","doi":"10.1109/JURSE.2013.6550660","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550660","url":null,"abstract":"Sustainable urban planning and management demand innovative concepts and techniques to obtain up-to-date and area-wide information on the characteristics and development of the urban system. The increasing availability of Earth Observation (EO) technologies has provided new opportunities for a wide range of urban applications, such as mapping and monitoring of the urban environment, socio-economic estimations, characterization of urban climate, analysis of regional and global impacts and urban security and emergency preparedness. However, a gap exists between the research-focused results offered by the urban EO community and the application of these data and products by urban planners and decision makers. Hence, the main objective of the GEOURBAN (ExploitinG Earth Observation in sUstainable uRBan plAnning & maNagement) project is to bridge this gap by demonstrating the ability of current and future EO systems to depict parameters of urban structure and urban environmental quality at detailed level. This paper introduces the conceptual approach towards the integration of EO-based geo-information into urban and spatial planning and presents and discusses first results of the indicators developed and evaluated by using remote sensing data.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124596946","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: 7
Estimation of enclosure index in urban areas using airborne LiDAR 利用机载激光雷达估算城市围护指数
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550651
J. Susaki, Y. Komiya, B. Mishra, Y. Ueda
{"title":"Estimation of enclosure index in urban areas using airborne LiDAR","authors":"J. Susaki, Y. Komiya, B. Mishra, Y. Ueda","doi":"10.1109/JURSE.2013.6550651","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550651","url":null,"abstract":"This paper proposes a methodology to estimate an “enclosure index” in urban areas using airborne LiDAR. The index is defined as a ratio of occluded area to whole of area in azimuth angle-elevation angle space. The index can be applied to assess local landscape, and it is expected to estimate it in a wide area at low cost. The author examined the methodology to estimate it using airborne LiDAR data measured in last-pulse mode. The estimated index map was validated with the ground truth data, and the error was acceptable, approximately 3%. Even though the last-pulse mode data may underestimate actual digital surface model (DSM), it was found that the proposed methodology is effective to estimate the index in a wide area at low cost.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127894802","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: 0
Development of method to automatically select passpoints for close range photogrammetry in dense urban areas 人口密集地区近景摄影测量通道点自动选择方法的发展
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550652
J. Susaki, B. Mishra, Y. Ota
{"title":"Development of method to automatically select passpoints for close range photogrammetry in dense urban areas","authors":"J. Susaki, B. Mishra, Y. Ota","doi":"10.1109/JURSE.2013.6550652","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550652","url":null,"abstract":"This paper proposes a methodology to select passpoints from images obtained using close-range photogrammetry. In this method, matches on stereo-pairs are extracted using Scale-Invariant Feature transform (SIFT) (Lowe, 2004), and erroneous matches are removed using Random Sample Consensus (RANSAC) (Fischler et al, 1981). At this stage, a lot of candidates of passpoints are available, and the number of points should be reduced to save computation time for external orientation. Therefore, limited number of passpoints are selected in terms of spatial dispersion by using the score obtained by SIFT. As a result, almost all erroneous matches could be removed and the validation result demonstrated that the accuracy of segment lengths was acceptable.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131274056","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: 0
Extracting and analyzing urban built-up area based on impervious surface and gravity model 基于不透水面和重力模型的城市建成区提取与分析
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550678
Xiaogang Ning, Yan Qin, Bai Yang
{"title":"Extracting and analyzing urban built-up area based on impervious surface and gravity model","authors":"Xiaogang Ning, Yan Qin, Bai Yang","doi":"10.1109/JURSE.2013.6550678","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550678","url":null,"abstract":"Urban built-up area is an important indicator for urbanization as well as the intuitive reflection of a city's expansion and development. Grasping the range of urban built-up area and the trend of urban extension can guide the conduct of urban planning management and city statistical analysis orderly. Using the eCognition software as platform, the urban built-up area is extracted based on the impervious surface through object-oriented method in this paper, then according to a series of related urban planning standard to make a set of buildup area definition scheme quantitatively through analysis and calculation, so that the belongings of components in the city will be divided effectively. This has broken the idea that dividing the urban built-up area by administrative boundary as before. Then using the gravity model to calculate the gravity between areas, and do the grade division of the extracted urban built-up area. At last, the comprehensive analysis of extension and dynamic and the forecast of a city would be conducted according to the multidate images in order to investigate the center of gravity and the direction of urban development, and provide evidence for urban planning and management. Based on the experiment, this paper came to the conclusion that the range extracted based on the impervious surface can express the urban built-up area range correctly; the range of urban main built-up area calculated by gravity model is also identical with the actual urban center; the urban extension analysis based on multidate images can reflect the urban development and change rapidly and obviously.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"477 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134267532","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: 2
Classification of urban LiDAR data using conditional random field and random forests 基于条件随机场和随机森林的城市激光雷达数据分类
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550685
J. Niemeyer, F. Rottensteiner, U. Soergel
{"title":"Classification of urban LiDAR data using conditional random field and random forests","authors":"J. Niemeyer, F. Rottensteiner, U. Soergel","doi":"10.1109/JURSE.2013.6550685","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550685","url":null,"abstract":"In this work we address the task of contextual classification of an airborne LiDAR point cloud. For that purpose, we integrate a Random Forest classifier into a Conditional Random Field (CRF) framework. A CRF has been shown to deliver good results discerning multiple classes. It is a flexible approach for obtaining a reliable classification even in complex urban scenes. The incorporation of multi-scale features improves the results further. Based on the classification results, 2D building and tree objects are generated and evaluated by the benchmark of ISPRS WG III/4.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115531463","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: 58
Urban feature extraction on simulated WorldView-2 images 模拟WorldView-2图像的城市特征提取
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550720
Camila Souza dos Anjos, C. M. de Almeida, L. Galvão, Leila Maria Garcia Fonseca
{"title":"Urban feature extraction on simulated WorldView-2 images","authors":"Camila Souza dos Anjos, C. M. de Almeida, L. Galvão, Leila Maria Garcia Fonseca","doi":"10.1109/JURSE.2013.6550720","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550720","url":null,"abstract":"This work presents a procedure for simulating the eight multispectral bands of the WorldView-2 satellite by means of bands available in the airborne sensor HSS (Hyperspectral Scanner System). Both the original and simulated images were classified using the SAM (Spectral Angle Mapper) algorithm, aiming to discriminate intra-urban targets, namely: French tiles, asphalt/concrete, steel and aluminum tiles, bare soil, native arborous vegetation, and grass. The simulated images proved to be suitable for the detection of all aforementioned targets.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114879686","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: 2
Building characterization using polarimetric tomographic SAR data 利用偏振层析SAR数据进行建筑物表征
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550708
S. Guillaso, O. D’Hondt, O. Hellwich
{"title":"Building characterization using polarimetric tomographic SAR data","authors":"S. Guillaso, O. D’Hondt, O. Hellwich","doi":"10.1109/JURSE.2013.6550708","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550708","url":null,"abstract":"This paper describes the characterization of buildings using fully polarimetric tomographic SAR data at L-Band. This analysis is performed in three steps. Polarimetric tomographic data are first processed using the high resolution spectral estimator MUSIC (FP-MUSIC-1), assuming 1 scatterer. Then, points of interest are extracted using a novel signal-to-noise index. A strong reduction of artifacts is observed. Finally, detected scatterers are identified by retrieving their polarization state.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114979568","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
Tomo-GENESIS: DLR's tomographic SAR processing system Tomo-GENESIS: DLR的层析SAR处理系统
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550690
Xiaoxiang Zhu, Yuanyuan Wang, S. Gernhardt, R. Bamler
{"title":"Tomo-GENESIS: DLR's tomographic SAR processing system","authors":"Xiaoxiang Zhu, Yuanyuan Wang, S. Gernhardt, R. Bamler","doi":"10.1109/JURSE.2013.6550690","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550690","url":null,"abstract":"Recently, several new algorithms for tomographic SAR inversion have been developed by DLR. These algorithms have been integrated into an efficient work flow: a system called Tomo-GENESIS. It consists of three main steps: pre-processing including APS estimation, tomographic processing and point cloud fusion. Final results over the test sites Las Vegas and Berlin are exemplified. 3D reconstructions of buildings are presented including their seasonal and linear deformations at resolution and coverage levels not possible so far.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127270231","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: 38
Anthropogenic carbon stocks analysis in sparsely urbanized areas using remote sensing: A case study 稀疏城市化地区人为碳储量的遥感分析:一个案例研究
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550680
P. Villa, R. Scalenghe, F. Malucelli
{"title":"Anthropogenic carbon stocks analysis in sparsely urbanized areas using remote sensing: A case study","authors":"P. Villa, R. Scalenghe, F. Malucelli","doi":"10.1109/JURSE.2013.6550680","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550680","url":null,"abstract":"Anthropogenic carbon stocks in urbanized areas is a topic of growing importance at both local and regional scale nowadays, but its assessment is subjects to difficulties due to lack of data and spatial heterogeneity of the target. Remote sensing of urban areas has demonstrated its usefulness in assessing phenomena such as soil sealing and surface imperviousness, which are considered to be effective indicators of urbanization. This work presents a preliminary study of mid resolution satellite data capabilities in providing information about anthropogenic carbon stocks over the area of Emilia-Romagna region in Northern Italy. This has been done through a dual approach consisting of: (1) a direct way of deriving a proxy for carbon stocks assessment via imperviousness surfaces mapping and (2) an indirect way of characterizing urbanization patterns by means of land cover classification. Results show interesting correlation pattern between reference anthropogenic carbon-organic carbon ratio values and both imperviousness map (R2 up to 0.63) and urban features cover map (R2 up to 0.75), with more evident matching in correspondence of sparsely urbanized areas.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126982836","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
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