2009 Joint Urban Remote Sensing Event最新文献_第4页

Airborne laser scanner point clouds strip adjustment aided by photogrammetry 摄影测量辅助的机载激光扫描仪点云条带调整

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137726

Guoyuan Li, G. Su

引用次数: 2

Application of SPOT 5 data fusion on investigating the ecological environment of mining area spot5数据融合在矿区生态环境调查中的应用

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137594

Xin-zhi Li, Ping Wang, Yan-bin Zang

{"title":"Application of SPOT 5 data fusion on investigating the ecological environment of mining area","authors":"Xin-zhi Li, Ping Wang, Yan-bin Zang","doi":"10.1109/URS.2009.5137594","DOIUrl":"https://doi.org/10.1109/URS.2009.5137594","url":null,"abstract":"At present, the methods and research documents about monitoring mining area ecological environment using remote sensing data are not much mentioned. Remote sensing has the characteristics of multi-temporal, fast dynamic monitoring, and low cost. Either the research method and theory or the results have certain ecological significance and practical value. Especially the information extraction using high-resolution images of SPOT 5 data draws more and more attention by the professionals. In the low-middle resolution images, the detail, texture, and border of mining area ecological environment elements can't be reflected, which brings difficulties for further identification and interpretation. SPOT 5 with visible and near-infrared bands at 10*10m, a shortwave infrared band at 20*20m and a panchromatic band at 2.5*2.5m. Based on the latest SPOT 5 data, this paper extracts and analyzes the information of mining area ecological environment elements by several data fusion methods, such as IHS transform, principal component analysis (PCA) and wavelet fusion. Compared to the original SPOT 5 multispectral image, the tone contrast and definition of the fused images are improved; especially some features are more easily identified, such as vegetation, subsidence area, waste dump, and power plant. Then the fused images are evaluated by four indicators: mean standard deviation, information entropy and average gradient. In conclusion, this paper uses SPOT 5 data and varieties of fusion methods to deal with the mining ecological environment elements, which achieved remarkable results and increased the information extraction precision. This not only provides basic data for evaluation and reclamation of the mining ecological environment but provides technical supports for decision-makers.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"2 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":"129369736","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

Tile mapping of urban area extent in VHR SAR images VHR SAR图像中城市区域范围的瓦片映射

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137736

M. Aldrighi, F. Dell’acqua, G. Lisini

引用次数: 2

URS-P in China:the approach of practice to apply RS to Urban planning and design RS- p在中国:RS应用于城市规划设计的实践途径

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137707

Yaoyu Lin, Fangfang Qian, Xiaoxue Zeng

引用次数: 0

Landscape ecological effect analysis of land use change in Datong City using remote sensing 基于遥感的大同市土地利用变化景观生态效应分析

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137627

Qiao Zhuping, L. Fang, Zhang Zeng-xiang, Y. Ling

{"title":"Landscape ecological effect analysis of land use change in Datong City using remote sensing","authors":"Qiao Zhuping, L. Fang, Zhang Zeng-xiang, Y. Ling","doi":"10.1109/URS.2009.5137627","DOIUrl":"https://doi.org/10.1109/URS.2009.5137627","url":null,"abstract":"By using a series of Landsat Thematic Mapper (TM) satellite data, land use change and its landscape ecological effect are analyzed quantitatively in Datong City, Shanxi Province of China. After correlative data processing and interpreting, land use information is extracted in 1988, 1995, 2000 and 2005. Then, the paper mainly focuses on the spatio-temporal analysis of land use change and its landscape ecological influence in study area. Some representative indices are chosen for analysis such as patch density, edge density, shape index, diversity index and so on. The results of land use change information show that with time varying, the area of all the six land use types had been changing all the time and the size of change area is not the same during dissimilar periods. Both decreasing and increasing exit. And the changes in 1988–2000 period were much more drastic than the period from 2000 to 2005. The calculating outcomes of the landscape ecological indices effectively reflect the changes of landscape ecological structure and heterogeneity both at the class and landscape levels. All these analysis and ecological effect index values show land use change has great impact upon the landscape ecological environment and its stabilization in study region. And the landscape ecological effects and problems indicated meanwhile include habitat quality declining, edge effect problem, land degradation, landscape elements simplification and the like. Therefore, reasonable and effective land utilization measures have to be taken or adjusted to improve the landscape ecological environment conditions.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"134 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":"130685515","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

Pulse Coupled Neural Networks for detecting urban areas changes at very high resolutions 脉冲耦合神经网络检测城市地区的变化在非常高的分辨率

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137588

F. Pacifici, F. Del Frate, W. Emery

引用次数: 4

3D detailed building model extraction for urban large-scale orthorectification 面向城市大尺度正校正的三维精细建筑模型提取

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137713

W. Xie, Guopqing Zhou, Yucai Xue

引用次数: 1

Building extraction by fusion of LIDAR data and aerial images 激光雷达数据与航空影像融合的建筑物提取

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137631

Jianhua Mao, Xuefeng Liu, Qihong Zeng

{"title":"Building extraction by fusion of LIDAR data and aerial images","authors":"Jianhua Mao, Xuefeng Liu, Qihong Zeng","doi":"10.1109/URS.2009.5137631","DOIUrl":"https://doi.org/10.1109/URS.2009.5137631","url":null,"abstract":"It is well know that geometric filters for points cloud can only go so far when removing above-ground phenomena for it's difficult to determine whether a laser point has hit a special object when only spatial analysis is included. And comparing to the discrete points cloud, the high quality, large-coverage images provided by aerial cameras is a very important advantage of photogrammetry, which can be a very important complement data source to the points cloud. And by a process of spectral imagery LIDAR composite, points cloud can be fused with accurate spectral images provided by aerial CCD cameras on the same board. And the points cloud, with both high quality of reflection and geometric properties, can be filtered by integrating the reflectivity and geometric method. In this paper, the measurement characteristics and advantages of reflectivity of laser scanning and CCD cameras for the classification of return points are analyzed, and a building extraction method, integrating the geometric feature and reflectivity information of the return's intensity and the spectral range of CCD camera are presented. In which, the vegetation points are filtered by spectral attributes initially, and then points belonged to the building walls are segmented by a area attributes after constructing the return points' voronoi diagram; and building surface points are filtered by plane-fitting clustering method.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"59 3 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":"123391795","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

Persistent scatterer pairs (PSP) technique and high resolution SAR interferometry in urban areas 持续散射对(PSP)技术与城市高分辨率SAR干涉测量

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137748

M. Costantini, F. Minati, S. Falco, F. Malvarosa, F. Trillo

引用次数: 1

Data Fusion towards building roof reconstruction based on CSR approach 基于CSR方法的建筑屋顶重建数据融合

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137738

J. Jaw, Chieh-Chung Cheng

{"title":"Data Fusion towards building roof reconstruction based on CSR approach","authors":"J. Jaw, Chieh-Chung Cheng","doi":"10.1109/URS.2009.5137738","DOIUrl":"https://doi.org/10.1109/URS.2009.5137738","url":null,"abstract":"3D building modeling has emerged as a focus of research as well as development for many urban planning and geo-information related applications. To its most abstract form on geometric level, 3D building roofs are regarded as the fundamental elements to present outlines of 3D building models. The emphasis of this study is to demonstrate a novel algorithm of building roof reconstruction, termed CSR (Construct-Shape-Refine). The proposed algorithm aims at reconstructing building roof models purely by employing 3D line features or integrating 3D and 2D line features from existing data. In particular, the latter integration involving fusion from multiple data sources strengthens the reliability as well as the precision of 3D building roofs. The CSR approach is characterized through three stages. Geometric inferences are imposed at the stage of Construct where topological relationship of the 3D line features is established while 3D coordinates of roof corners are adjusted and estimated through Shape processes, apart from compensating the hidden boundaries, if any. The efficiencies of two fusion streams, including fusion of 3D line features that result from different sources or fusing 3D line features with photogrammetric line features, are gained as promoting the building roof quality via Refine workflow. Experiments of the Construct-Shape stages show that the proposed method is independent of building roof types, however constrained in polygons under current consideration, as well as whether 3D line features are complete for both successful and efficient performance of building roof reconstruction on a 3D line feature basis. Moreover, the Refine stage offers more up-to-date and satisfactory building roof reconstruction results as compared to the situation when only one single data set is considered.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"33 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":"116157884","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