2009 Joint Urban Remote Sensing Event最新文献

Segment-based urban block outlining in high-resolution SAR images 高分辨率SAR图像中基于分段的城市街区轮廓

2009 Joint Urban Remote Sensing Event Pub Date : 2009-06-26 DOI: 10.1109/URS.2009.5137586

F. Dell’acqua, P. Gamba, L. Odasso, G. Lisini

引用次数: 12

The method and applications of remote sensing in urban building heating-loss monitoring 遥感在城市建筑热损失监测中的方法及应用

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137475

Hu Huiping, Zhao Jingjing, Wu Bingfang, Zhou Yuemin

引用次数: 1

A classification method for building detection based on LiDAR point clouds 一种基于LiDAR点云的建筑物检测分类方法

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137608

Mei Zhou, B. Xia, G. Su, L. Tang, Chanrong Li

引用次数: 7

Estimating urban impervious surfaces using LS-SVM with multi-scale texture 基于多尺度纹理的LS-SVM城市不透水面估计

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137646

Zhang Youjing, Chen Liang, He Chuan

{"title":"Estimating urban impervious surfaces using LS-SVM with multi-scale texture","authors":"Zhang Youjing, Chen Liang, He Chuan","doi":"10.1109/URS.2009.5137646","DOIUrl":"https://doi.org/10.1109/URS.2009.5137646","url":null,"abstract":"Various methodologies have been used to estimate and map percent impervious surface using medium resolution remote sensing imagery. However, there appears to be few study conducted on the use of SVR for estimating ratio of impervious surfaces. The aim of this paper is to compare the effectiveness both of two advanced algorithms and three feature set for estimating and describing impervious surface. Landsat imagery (acquired on Sep. 16, 2000 and Apr. 2, 2006) in Nanjing, China, were used for the analysis. The linear spectral mixture analysis (LSMA) and least-squares support vector machine (LS-SVM) were employed to extract impervious surface. Accurate assessment was performed against a high-resolution IKONOS image. The results show that LS-SVM was more effective than LSMA in extracting impervious surfaces with high statistical accuracy. The root-mean-square error (RMSE) of the impervious surface map using LS-SVM model was 0.106 compared with 0.246 using LSMA. Also, the LS-SVM with multi-scale texture was obtained the lowest error than the spectrum and single scale texture. It is demonstrated that the LS-SVM with multi-scale texture is of capability of handling the nonlinear mixing of the image spectrum and the complex distribution of urban objects.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125140252","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

Point cloud segmentation towards urban ground modeling 面向城市地面建模的点云分割

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137562

Jorge Hernández, B. Marcotegui

引用次数: 77

The progress and prospect of Remote Sensing for aerosol optical depth 气溶胶光学深度遥感研究进展与展望

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137582

Gao Yu-ling, Xia Li-hua, Wang Fang, Huang Jing

引用次数: 1

Fast InSAR multichannel phase unwrapping for DEM generation 用于DEM生成的快速InSAR多通道相位展开

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137533

G. Ferraioli, A. Shabou, F. Tupin, V. Pascazio

引用次数: 5

A preliminary study of three training methods for land cover classification by artificial neural networks 三种基于人工神经网络的土地覆盖分类训练方法的初步研究

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137498

Libin Zhou, Xiaojun Yang

引用次数: 1

Variable shape models for LS-based automatic building extraction from VHR satellite imagery 基于ls的VHR卫星影像建筑物自动提取的变形状模型

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137647

Weian Wang, Yi Liu, Jiao Lu, B. Zheng

引用次数: 2

Mining area subsidence monitoring using multi-band SAR data 基于多波段SAR数据的矿区沉陷监测

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137665

Liu Guang, Guo Huadong, Fan Jinghui, G. Xiaofang, Z. Perski, Yue Huanyin

{"title":"Mining area subsidence monitoring using multi-band SAR data","authors":"Liu Guang, Guo Huadong, Fan Jinghui, G. Xiaofang, Z. Perski, Yue Huanyin","doi":"10.1109/URS.2009.5137665","DOIUrl":"https://doi.org/10.1109/URS.2009.5137665","url":null,"abstract":"In this work, DInSAR technique has been applied to the monitoring of mining induced land subsidence in many areas. In this paper, the DInSAR technique is used to process the space borne SAR data including C band ENVISAT ASAR and L band JERS, PALSAR SAR data to derive the temporal land subsidence information in Fengfeng coal mine area, Hebei province in China. Since JERS do not have precise orbit, an orbit adjustment must be accomplish before the DInSAR interferogram was formed. We designed a images coregistration method based on the imaging geometry of interferometric SAR, and an external DEM. We analyzed 8 differential interferograms derived from JERS SAR, PALSAR, ENVISAT ASAR data. In our analysis, the DInSAR results were compared with leveling data that show high consistency. The characteristics of phase pattern on these C band and L band deformation interferograms were compared; we can notice that in most situations, the obtained deformation pattern on the surface is not the same of L and C band. And at last the feasibility and limitations in mining subsidence monitoring with DInSAR were analyzed. The experimental result shows that both C band and L band can accomplish monitoring mining area subsidence, but C band has more restrict conditions of its perpendicular baseline. In order to get a satisfactory outcome in mining area subsidence by DInSAR method, the time series of SAR images of every visit period and SAR deformation interferograms should be archived.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130667866","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: 16