2009 Joint Urban Remote Sensing Event最新文献_第2页

Physical characterisation of deprivation in cities: How can remote sensing help to profile poverty (slum dwellers) in the megacity of Delhi/India?) 城市贫困的物理特征:遥感如何帮助描绘德里/印度大城市的贫困(贫民窟居民)?

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137652

M. Netzband, Atiqur Rahman

{"title":"Physical characterisation of deprivation in cities: How can remote sensing help to profile poverty (slum dwellers) in the megacity of Delhi/India?)","authors":"M. Netzband, Atiqur Rahman","doi":"10.1109/URS.2009.5137652","DOIUrl":"https://doi.org/10.1109/URS.2009.5137652","url":null,"abstract":"Addressing the question ‘Is the world urbanizing in a context of poverty?’ has been so far based on limited information. There is only poor scientific and operational knowledge of this process. Urban growth & land consumption patterns are poorly understood (i.e. coastal cities are growing faster; they are disproportionately urban and with higher densities). Thus, the available information is inadequate for policy & planning. Due to their microstructure, irregularity and direct adaptation to local conditions and the terrain, a generically applicable mapping of these settlements is difficult. The focus of the proposed paper will be laid on experiences in identifying slums and informal settlements in the Megacity of Delhi/India by means of high resolution remote sensing in order to help spatially profile poverty in very complex (cluttered) and partly hard to control giant and fast growing urbanized regions. An integrated approach using ASTER satellite data and GIS is applied in conjunction with socio-economic data collected from different government offices for assessing such urban issues.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"76 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":"124487723","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: 17

Non-parametric multiple level set model for efficient image classification in urban areas 城市图像高效分类的非参数多水平集模型

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137591

Ying Lin, Yun Yang

{"title":"Non-parametric multiple level set model for efficient image classification in urban areas","authors":"Ying Lin, Yun Yang","doi":"10.1109/URS.2009.5137591","DOIUrl":"https://doi.org/10.1109/URS.2009.5137591","url":null,"abstract":"Multispectral remotely sensing imagery with high spatial resolution, such as QuickBird, IKONOS satellite imagery or Aerial imagery, especially in urban scenes, often perform spectral variations and rich details within a category, resulting in a poor accuracy of classification. To seek an efficient solution, this paper presents a non-parametric and variational multiple level set model by a joint use of Aerial image and two products, digital terrain model (DTM) and digital surface model (DSM), directly or indirectly derived from raw LiDAR (Light Detection And Ranging) 3D point cloud data. Proposed model is to minimize an energy function. The energy includes two terms. First term is mainly image-based energy which introduces Parzen Window density estimation technique in the multiple level set framework. To make up the disadvantages brought by only multispectral image-based classification scheme mentioned above. A novel energy constraint term is added by combining elevation information of objects derived from LiDAR raw point cloud. Thus, a closely integrated and effective classification model under variational level set framework has formed. Finally, comparative experiments on a pair of Aerial image and LiDAR point cloud data have demonstrated the our proposal can obtain more accurate and detailed classification than that of relevant methods only depending on spectral information of image.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"1 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":"125773936","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

Construction of geographic information network sharing framework 地理信息网络共享框架的构建

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137581

Guangxue Li, Wei Shen, Weixi Wang, S. Liu

引用次数: 0

Monitoring ground subsidence in mining area using spaceborne InSAR technology 利用星载InSAR技术监测矿区地面沉降

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137668

Jianguo He, Guang Liu, Huanyin Yue

引用次数: 4

Semi-automatic road tracking by template matching and distance transform 基于模板匹配和距离变换的半自动道路跟踪

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1080/01431161.2010.540587

Xiangguo Lin, Jixian Zhang, Zhengjun Liu, Jing Shen

{"title":"Semi-automatic road tracking by template matching and distance transform","authors":"Xiangguo Lin, Jixian Zhang, Zhengjun Liu, Jing Shen","doi":"10.1080/01431161.2010.540587","DOIUrl":"https://doi.org/10.1080/01431161.2010.540587","url":null,"abstract":"Semi-automatic extraction of road networks is greatly needed to accelerate the acquisition and update of geodata. However, the road surfaces are seriously disturbed by occlusion of vehicles or shadows on high resolution remotely sensed imagery in urban areas, which makes most of road trackers, using least-squares template matching, inefficient. Fortunately, the scale of many disturbing features such as vehicles, zebras, lane markings is smaller than one of ribbon road surfaces in urban areas. As a matter of fact, Euclidean distance transform can dilate the pure road surface and erode the small disturbing features if a coarsely template matching by thresholding the differences of gray values is firstly performed. Consequently, the Euclidean distance transformation makes the template matching more robust in tracking road networks in urban areas. In this paper, a novel semi-automatic scheme based on template matching and Euclidean distance transformation is presented to extract ribbon roads in urban areas. A scene of QuickBird image over Tai'an area was used for test. The results show our improved method can reliably and robustly extract road networks in urban areas. The main contribution of this paper is that the method of distance transformation besides least squares can be used in template matching to track road networks with much complexity has been strongly proved.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"1 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":"130060656","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: 31

A dynamic assessment of Ecological Footprint and Biocapacity in Guangzhou using RS and GIS 基于RS和GIS的广州市生态足迹和生物承载力动态评价

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137719

Wang Yunpeng, Z. Tao, Wang Fang

引用次数: 2

A study of urbanization in China based on regionalization using DMSP/OLS night light imagery 基于DMSP/OLS夜光影像区划的中国城市化研究

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137530

Mei Yang, Shixin Wang, Yi Zhou, Litao Wang, Chuiqing Zeng

引用次数: 9

Air quality assessment for Beijing city by retrieving aerosol optical thickness from HJ-1A/B images using structure function method 基于结构函数法反演HJ-1A/B影像气溶胶光学厚度的北京市空气质量评价

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137484

Chunyan Zhou, Qinhuo Liu, Yongming Du, Kai Wang

引用次数: 0

Building extraction and 3D reconstruction in urban areas from high-resolution optical and SAR imagery 基于高分辨率光学和SAR图像的城市建筑提取和三维重建

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137746

H. Sportouche, F. Tupin, L. Denise

引用次数: 46

An improved N-FINDR algorithm for endmember extraction in hyperspectral imagery 一种用于高光谱图像端元提取的改进N-FINDR算法

2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137677

Xue Zhang, X. Tong, Miao-long Liu

{"title":"An improved N-FINDR algorithm for endmember extraction in hyperspectral imagery","authors":"Xue Zhang, X. Tong, Miao-long Liu","doi":"10.1109/URS.2009.5137677","DOIUrl":"https://doi.org/10.1109/URS.2009.5137677","url":null,"abstract":"Since recent advances of remote sensing instruments have significantly improved sensor's spectral resolution, pixel resolution is larger than the object size, such that the hyperspectral signal collected by the sensor at each pixel is formed by an integration of signals, which can be considered macroscopically pure, are usually named “endmembers” in hyperspectral image. It is top of all in the hyperspectral analysis that the endmembers should be extracted from the image. N-FINDR algorithm, one of the most popular and effective endmember extraction algorithms, implements with the random initialization of the procedure which brings about the blindfold replacement of the endmembers, and the innumerable volume calculation causes a low speed of the algorithm. However, many published research on N-FINDR algorithm missed the comprehensive consideration of improvement in the two aspects. In this paper, two very typical improvements were applied to integrate the performance using automatic target generation process algorithm (ATGP) algorithm initialized endmember set and the distance calculation to replace the volume calculation in N-FINDR algorithm. The simulate experiment was finally implemented to demonstrate better performance of the hybrid improved N-FINDR algorithm by comparison with original N-FINDR algorithm (ONF), N-FINDR algorithm with initialized endmember set (INF) and N-FINDR algorithm with distance calculation other than volume calculation (DNF) using synthesis hyperspectral image. By comparing experiment results, it is indicated that in contrast to the other three algorithms, the hybrid improved algorithm in this paper shows the best performance that it needs a small amount of the spectrum set replacement and const the least of the procedure time.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"56 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":"131416960","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