International Symposium on Lidar and Radar Mapping Technologies最新文献

Analysis on coherence changes of dam surface in TerraSAR Strip mode interferograms TerraSAR条形干涉图中坝面相干性变化分析

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-10-24 DOI: 10.1117/12.912337

Tao Li, Chunlong Gong, Mingyan Xia, Zonghuang Jin

{"title":"Analysis on coherence changes of dam surface in TerraSAR Strip mode interferograms","authors":"Tao Li, Chunlong Gong, Mingyan Xia, Zonghuang Jin","doi":"10.1117/12.912337","DOIUrl":"https://doi.org/10.1117/12.912337","url":null,"abstract":"The high resolution images of TerraSAR has made it able to reflect the detail characters of large-scale manmade structures, so monitoring local deformation of large-sized buildings comes to be available. Former research had shown that InSAR phase of the dam surface was stable and consecutive. This paper aimed to make a further proof of the viability of monitoring dam's deformation using 3-meter-resolution strip mode images of TerraSAR. So we made a time series analysis of dam surface's coherence for the next step. Our dataset had eleven images covering three medium size basins of Shenzhen. Coherence of different features in the basin area including dams was extracted to make a comparative analysis. Two different combination methods were designed to create interferometric pairs to find the influence of time baseline and perpendicular baseline to coherence of different cultures. In our research, it was find out that coherence of dam surface was mainly influenced by time baseline. In short time baseline pairs (eleven days), coherence of dam surface was about 0.2 higher than vegetation slope in average. DInSAR process was suitable for short time baseline interferometric pairs, other methods such as PS will be needed for long time baseline interferometric pairs.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126405635","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

Detecting surface deformation by phase stacking based on the PS 基于PS的相位叠加检测表面变形

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-10-24 DOI: 10.1117/12.912306

M. Hao, K. Deng, H. Fan

{"title":"Detecting surface deformation by phase stacking based on the PS","authors":"M. Hao, K. Deng, H. Fan","doi":"10.1117/12.912306","DOIUrl":"https://doi.org/10.1117/12.912306","url":null,"abstract":"In the surface deformation monitoring, synthetic aperture radar differential interferometry (D-InSAR) has the advantages of all-weather, large-scale and high accuracy, it is hard to form interferogram for limited factors such as spatial decorrelation, temporal decorrelation and atmospheric effect. For the reason, the method of PS-DInSAR was proposed. However, the method needs so many SAR images, more than twenty scenes. Therefore, the method based on the phase stacking of PS for surface deformation monitoring was proposed and verified. The PS-DInSAR model and D-InSAR model are combined and simplified under certain conditions that assume the phase error of atmospheric disturbances are random and equal in an interferogram and the deformation is linear. The optimal master image for interferometric combinations is selected by comprehensive correlation function model. Then the PS points are detected and the Delaunay triangle is established according to the PS. The Minimum Cost Flow is used based on the Delaunay triangle of PS to unwrap the phase. Then the deformation and deformation rate are obtained by the linear analysis for temporal series of interferograms. At last, nine ENVISAT images captured during 2003.6-2006.3 in Tianjin area were processed, and the mean subsidence rate of this area was obtained.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132474115","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

Fast and automatic forest volume estimation based on K nearest neighbor and SAR 基于K近邻和SAR的森林体积快速自动估计

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-10-24 DOI: 10.1117/12.912332

Ying Guo, Zeng-yuan Li, E. Chen, Xu Zhang

{"title":"Fast and automatic forest volume estimation based on K nearest neighbor and SAR","authors":"Ying Guo, Zeng-yuan Li, E. Chen, Xu Zhang","doi":"10.1117/12.912332","DOIUrl":"https://doi.org/10.1117/12.912332","url":null,"abstract":"In the recent years, the estimation of forest volume using radar data has developed greatly. However, as the radar data was large scale, the efficiency of processing based on KNN decreased seriously. Moreover, because the different K and distance measured method could result in the different accuracy, the treatment could have a low degree of automation under the condition of keeping the relatively better precision. Therefore, the study implemented a tool which could have the feature of fast and automatic processing radar data based on KNN. For enhancing the efficiency of processing, the tool was implemented in the way of parallelization by using the message passing interface (MPI) technology and run on the high performance cluster environment. To certain the suitable parameter automatically such as K and the appropriate distance measured method during the processing; the study used leave-one-out cross-validation method to check the precision and selected the optimum model based on the accuracy. The result shows that the tool accelerated the computation speed as eight time as before while ensuring the treatment precision and improved the automatic degree of the treatment. To some extend, it solved the bottleneck of processing large scale SAR data.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132654030","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

Comprehensive quality evaluation of airborne lidar data 机载激光雷达数据综合质量评价

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-10-24 DOI: 10.1117/12.912588

Jianwei Wu, W. Yao, Wei Chi, Xiangdong Zhao

{"title":"Comprehensive quality evaluation of airborne lidar data","authors":"Jianwei Wu, W. Yao, Wei Chi, Xiangdong Zhao","doi":"10.1117/12.912588","DOIUrl":"https://doi.org/10.1117/12.912588","url":null,"abstract":"As a new data source of remote sensing, airborne LiDAR data quality evaluation is of great importance. This paper focused on the comprehensive quality evaluation of airborne LiDAR data in the following aspects: data integrity, data accuracy , data density, interpretation ability of intensity and the quality of spatial data products from LiDAR data, which aimed to provide a complete reference to airborne LiDAR data quality for practical applications. For data integrity, a data void extraction method based on region growing was proposed to check the completeness of spatial distribution. Data accuracy is a key quality index for LiDAR data quality. Height offset statistics among overlapping strips were calculated to evaluate the relative accuracy. Data density is an important factor influencing the products quality from LiDAR data. The average point spacing can only demonstrate the whole density of the data, whereas the local density is much more important for specific applications. In this paper, the density distribution map is used to reflect the density variations for the whole data. Besides, interpretation ability of intensity is also used to evaluate the quality of the airborne LiDAR data. Quality of DTM was used to evaluate the LiDAR data at last.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132751857","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

Surface deformation analysis of Xian (China) in 2009 carried out with refined SBAS-DInSAR 利用改进的SBAS-DInSAR对中国西安2009年地表变形进行分析

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-10-24 DOI: 10.1117/12.912342

W. Zhu, Q. Zhang, X. Ding, C. Zhao, J. Zhang, F. Qu

引用次数: 2

A spherical targets fitting method for terrestrial laser scanning data 地面激光扫描数据球面目标拟合方法

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-10-24 DOI: 10.1117/12.912354

Jia Li, De-hua Zheng, Qiuping Lan, Qin Liu

引用次数: 0

Study on fusion methods of ASAR and ETM+ data and information extraction ASAR与ETM+数据融合方法及信息提取研究

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-10-24 DOI: 10.1117/12.912442

Jianwei Ma, Xiaoning Song, P. Leng, Xinhui Li

{"title":"Study on fusion methods of ASAR and ETM+ data and information extraction","authors":"Jianwei Ma, Xiaoning Song, P. Leng, Xinhui Li","doi":"10.1117/12.912442","DOIUrl":"https://doi.org/10.1117/12.912442","url":null,"abstract":"Information extracted from remote sensing data plays an important role in the environment, hydrology and geology study. Optic remote sensing image has plenty of spectrum information and microwave can reflect land surface texture and penetrate ground to some extent. Fusion of microwave and optic remote sensing image will take advantage of mutual complementary information, and extract subsurface information more available. A comprehensive fusion approach between different remote sensing data was proposed, and the ASAR and ETM+ data were chosen as data source. Firstly, panchromatic and multi-spectral images of ETM+ were fused with principal component analysis (PCA) method. Spectral information and spatial detail information of the merged image has been enhanced compared to the original images. Secondly, ASAR and merged ETM+ data were fused using three methods, including multiplicative, Gram-Schmidt and discrete wavelet transformation (DWT). DWT fusion was the primary research content. The image quality after fusion was evaluated by means of visual effects, entropy, average gradient, correlation coefficient and standard deviation. The results show that the image fused with DWT has the highest accuracy, in which more surface and subsurface information can be expressed better. This research will build a foundation for making full use of ASAR and ETM+ data.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132004688","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

A high resolution InSAR topographic reconstruction research in urban area based on TerraSAR-X data 基于TerraSAR-X数据的城市高分辨率InSAR地形重建研究

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-10-24 DOI: 10.1117/12.912433

F. Qu, Zhang Qin, Chaoying Zhao, Wu Zhu

引用次数: 1

PS InSAR processing methodologies in the detection of ground surface deformation: a case study of Nantong City PS InSAR处理方法在地表变形探测中的应用——以南通市为例

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-10-24 DOI: 10.1117/12.912522

R. Xiao, Xiufeng He, M. He

{"title":"PS InSAR processing methodologies in the detection of ground surface deformation: a case study of Nantong City","authors":"R. Xiao, Xiufeng He, M. He","doi":"10.1117/12.912522","DOIUrl":"https://doi.org/10.1117/12.912522","url":null,"abstract":"Over the last two decades, Synthetic Aperture Radar Interferometric (InSAR) has proven a remarkable potential tool for observing the Earth surface, especially for mapping the Earth's topography and deformation. It can resolve surface displacement with centimetric accuracy, tens meters of spatial resolution and monthly temporal resolution. The permanent scatterer (PS) technique has been developed later in the 1990s first by A. Ferretti to overcome the major limitations of repeat-pass SAR interferometry: temporal and geometrical decorrelation as well as atmospheric delays. The Ferretti's method, referenced as the Permanent Scatterers TechniqueTM in their patented procedure, works best in urban areas containing large numbers of man-made structures, which tend to be angular and often produce very efficient reflectors that dominate background scattering. In this paper, a series of fifteen ENVISAT ASAR acquisitions of the city of Nantong, located at the mouth of Yangtze River adjacent to Shanghai, covering the period from 2006 to 2007, was analyzed. The PS-InSAR technique and Geographic Information System (GIS) spatial analysis were used to detect ground deformation in the urban area. Results show there was no large, continuous subsidence occurs in the city, however seven subsidence bowls were found. This can be used to define the risk zones for future ground subsidence.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126516992","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

A new SAR image denoising algorithm of fusing Kuan filters and edge extraction 一种融合宽滤波器和边缘提取的SAR图像去噪算法

International Symposium on Lidar and Radar Mapping Technologies Pub Date : 2011-10-24 DOI: 10.1117/12.912327

Xiang Zhang, K. Deng, H. Fan

{"title":"A new SAR image denoising algorithm of fusing Kuan filters and edge extraction","authors":"Xiang Zhang, K. Deng, H. Fan","doi":"10.1117/12.912327","DOIUrl":"https://doi.org/10.1117/12.912327","url":null,"abstract":"Due to the advantage of all-weather, multi-angle data acquisition, Synthetic Aperture Radar has been widely applied in many areas. However, the speckle noise affects its application seriously. Therefore, suppressing speckle noise effectively is significant for its analysis and application. Against the shortcoming that the Kuan filter can't both suppress speckle effectively and maintain the edge details suitably, we propose a new algorithm, which fuses the Kuan filter and the edge extraction technology. In this algorithm, first we use the Kuan filter with 5× 5 window to process the image, we can get the filtered image which suppress the speckle effectively, but the edge details and texture information loss seriously. Then we use the edge extraction technology to get the image's edge and texture information. At last the pixel values of the edge and texture area of the filtered image are replaced by the result of the edge extraction. Experimental result shows that the improved filtering method not only suppresses the speckle effectively, but also improves the capability of edge details and texture information maintaining. Compared with the traditional filters, the proposed improved filter is effective.","PeriodicalId":194292,"journal":{"name":"International Symposium on Lidar and Radar Mapping Technologies","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132131444","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