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2009 Joint Urban Remote Sensing Event最新文献

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Comparison and analysis of Urban Heat Island Effects for middle-sized cities in Chengdu plain based on NOAA/AVHRR 基于NOAA/AVHRR的成都平原中等城市热岛效应对比分析
2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137512
Shang-Ming Dan, Huixi Xu, B. Dan, Wanrong Xue, Hao Li, Gang-yi Chen
{"title":"Comparison and analysis of Urban Heat Island Effects for middle-sized cities in Chengdu plain based on NOAA/AVHRR","authors":"Shang-Ming Dan, Huixi Xu, B. Dan, Wanrong Xue, Hao Li, Gang-yi Chen","doi":"10.1109/URS.2009.5137512","DOIUrl":"https://doi.org/10.1109/URS.2009.5137512","url":null,"abstract":"This Paper compared and analysed Urban Heat Island Effects in Chengdu plain's Mianyang, Deyang, and Meishan, making full use of channel 4 (10.3 ∼ 11.3um) data of NOAA/AVHRR. Research results showed that Urban Heat Island Effects of middle-sized cities in the inner land are very evident; the daily mean of the maximum strength of Urban Heat Island Effects in the three cities stands at 5.19 °C with 5.90 °C at daytime and 4.47 °C at night; the maximum strength of Urban Heat Island Effects on average reaches 5.45 °C, 5.92 °C, and 4.19 °C respectively; the discovery that Mianyang claims the strongest Urban Heat Island Effects whilst Meishan the weakest one is attributed to the fact that Mianyang is the largest city, Deyang the heavy industry city, and Meishan the historical and cultural city with least industrialization among the three. Size and maximum strength of Urban Heat Island Effects completely coincide with size and nature of the cities.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"11 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":"122426700","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
Multi-scale segmentation of remote sensing image based on watershed transformation 基于流域变换的遥感图像多尺度分割
2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137539
Yinqiao Cai, X. Tong, Rong Shu
{"title":"Multi-scale segmentation of remote sensing image based on watershed transformation","authors":"Yinqiao Cai, X. Tong, Rong Shu","doi":"10.1109/URS.2009.5137539","DOIUrl":"https://doi.org/10.1109/URS.2009.5137539","url":null,"abstract":"Image segmentation is an important step for classification and feature extraction of high resolution remote sensing image. The purpose of this study is to find an improved segmentation method suitable for high resolution remote sensing image. Firstly a region homogeneity indictor called H index was introduced. Then the optimized edge gradient was obtained based on the integration of Canny operator and H index. A watershed transformation followed up to acquire the initial segmentation of the remote sensing image. To eliminate the over-segmentation, a multi-scale merging according to object-oriented principle was finally conducted. A multi-spectrum QuickBird remote sensing image was segmented per the above-mentioned method. The improved H gradient image effectively overcame the limitations of week edges in high resolution remote sensing image, and on the whole the QuickBird image was segmented into homogeneity objects. It proves that the improved segmentation method is suitable to high resolution remote sensing images.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"12 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":"122578730","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: 5
Speed detection of moving vehicles from one scene of QuickBird images QuickBird图像中某场景移动车辆的速度检测
2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137663
Wen Liu, F. Yamazaki
{"title":"Speed detection of moving vehicles from one scene of QuickBird images","authors":"Wen Liu, F. Yamazaki","doi":"10.1109/URS.2009.5137663","DOIUrl":"https://doi.org/10.1109/URS.2009.5137663","url":null,"abstract":"A new method is developed to extract moving vehicles and subsequently detect their speeds from a pair of QuickBird (QB) panchromatic (PAN) and multi-spectral (MS) images automatically. Since PAN and MS sensors of QB have a slight time lag, about 0.2 seconds, the speed of moving vehicles can be detected by the movement between PAN and MS images in the time lag. From a PAN image with 0.6m resolution, vehicles can be extracted by an object-based approach. But it is difficult to extract the accurate position of vehicles from a MS image with 2.4m resolution. Thus an area correlation method is proposed to estimate the location of vehicles from MS images in a sub-pixel level. Using the results of the vehicle extraction, the speed of moving vehicles can be detected. The approach is tested on several parts of the QB image covering the central Tokyo, Japan, and the accuracy of the result is demonstrated.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"27 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":"122612258","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
Feature-based geometric registration of high spatial resolution satellite imagery 基于特征的高空间分辨率卫星图像几何配准
2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137509
Yindi Zhao, Shanlei Liu, Peijun Du, Min Li
{"title":"Feature-based geometric registration of high spatial resolution satellite imagery","authors":"Yindi Zhao, Shanlei Liu, Peijun Du, Min Li","doi":"10.1109/URS.2009.5137509","DOIUrl":"https://doi.org/10.1109/URS.2009.5137509","url":null,"abstract":"Image registration is a crucial step in some specific applications of remote sensing. High resolution remote sensing images have made it more convenient for people to observe the Earth; however, they also create challenges for traditional research methods. In terms of image registration, there are a number of problems with using conventional image registration techniques for high resolution images. This paper develops an improved feature-based geometric registration approach for high spatial resolution images, in which control points are efficiently selected automatically. First a modified watershed transformation algorithm is used for image segmentation. Then regions are represented by centers of gravity, and road intersection can be considered the main target to perform the control point extraction. Secondly the extracted points in the reference and warped images can be matched using spatial relations. Finally, pixels in the warped image are directly corrected using the chosen geometric model followed by the corresponding interpolation methods. The proposed feature-based geometric correction method is implemented using a time series of QuickBird images acquired over the 2004/2005 summer season at Xuzhou City, Jiangsu Province of China. The experimental results show that the presented rectification approach is convenient to determine ground control points, and is efficient for high spatial resolution image geometric registration.","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":"129270370","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
Multiscale image analysis method for urban applications 城市应用多尺度图像分析方法
2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137635
Fengrui Chen, Xiankun Yang, Xi Li
{"title":"Multiscale image analysis method for urban applications","authors":"Fengrui Chen, Xiankun Yang, Xi Li","doi":"10.1109/URS.2009.5137635","DOIUrl":"https://doi.org/10.1109/URS.2009.5137635","url":null,"abstract":"Urban is composed of different critical levels of organization where interactions are stronger within levels than among levels, it is a complex system. Image analysis performed at a unique scale for urban applications is doomed to be incomplete and misleading. This paper presents a multiscale image analysis method based on wavelet transform and watershed transform for urban system. It performs image analysis on multiple scale images, and can catch comprehensive information of urban system for different applications. The procedure consists of three main steps: multiscale representation, image segmentation, post-processing. First, multiscale represent creates multiresolution images using a wavelet transform and a modified inverse wavelet transform; a smooth and multiscale presentation of original image is provided. Second, image segmentation segments the multiscale images using watershed segment algorithm. Finally, post-processing merges over-segment regions and smoothes watersheds, then, multiscale image objects are attained. This study was conducted in Nanjing, Jiangsu province, China, using IKONOS satellite data. Experimental results demonstrate that the proposed method is suitable for describing the complex urban system. Both visual and quantitative methods are applied to evaluation the experimental results, and reveal the relation of objects within and among levels.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"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":"117120424","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
Application study of urban heat island effect in the Northwestern City based on MODIS 基于MODIS的西北城市热岛效应应用研究
2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137716
Hongchun Peng, Haiying Li
{"title":"Application study of urban heat island effect in the Northwestern City based on MODIS","authors":"Hongchun Peng, Haiying Li","doi":"10.1109/URS.2009.5137716","DOIUrl":"https://doi.org/10.1109/URS.2009.5137716","url":null,"abstract":"This article studied the urban heat island effect of a western city, the capital of Qinghai Province on the western plateau. This research was based on MODIS LST products from 2000 to 2008. The results showed: 1) the urban area had higher LST, the suburban and rural surroundings had lower LST; 2) the county with higher altitude had lower LST, while had lower LST with higher altitude; 3) the urbanization caused the area of UHI. With the Western Development, the city area was enlarging, denser population and more buildings restrained the air ventilation, which brought about the more UHI. Although the global warming influenced Xining region, the data didn't showed that Xining had upward trend of LST. The reason is because the data is 8-day composites which is easy to be affected by climate conditions.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"79 12 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":"115828162","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
Ecological environment regionalization of Beijing: RS & GIS application research 北京市生态环境区划:RS与GIS应用研究
2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137499
L. Hongqi, G. Huili, Hu Zhuowei
{"title":"Ecological environment regionalization of Beijing: RS & GIS application research","authors":"L. Hongqi, G. Huili, Hu Zhuowei","doi":"10.1109/URS.2009.5137499","DOIUrl":"https://doi.org/10.1109/URS.2009.5137499","url":null,"abstract":"The eco-environmental regionalization is a comprehensive division process based on the geographical differences of regional eco-environment status. Compared to the traditional method, spatial analysis is more and more used to get the main characteristic of the eco-environment before regionalization. In this paper, TM, SPOT and QuickBird images of 2000∼2008 are taken as data sources. And using Remote Sensing (RS) and Geographical Information System (GIS) technology, combined with field survey and other auxiliary data, ecological information, including vegetation, land, water resources, air quality, and so on, were extracted. Then, the qualitative and quantitative analysis of the spatial and temporal distribution of various eco-environmental factors was made to determine the main features that impact the eco-environment.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"119 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":"116202637","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
Analysis and study of urban heat environment and respirable particulate matter in Beijing city 北京城市热环境与可吸入颗粒物分析与研究
2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137565
Li Shanshan, G. Huili, Zhao Wenji, Sun Yonghua
{"title":"Analysis and study of urban heat environment and respirable particulate matter in Beijing city","authors":"Li Shanshan, G. Huili, Zhao Wenji, Sun Yonghua","doi":"10.1109/URS.2009.5137565","DOIUrl":"https://doi.org/10.1109/URS.2009.5137565","url":null,"abstract":"The phenomenon of temperature in urban cities is higher than that in suburbs is called Urban Heat Island (UHI), which is put forward by Lake Howard[1] in 1833. Three main algorithms of land surface temperature retrieval of existing thermal infrared remote sensed data has been developed: single channel algorithm, split window algorithm and multi-band algorithm. The thesis selected split window algorithm and improves the split window algorithm of AVHRR to suit MODIS image data. This split window algorithm is based on the thermal radiation data which is observed by NOAA-AVHRR. This paper retrieved land surface temperature and analysis the spatial characteristics of Beijing urban heat island as well as its influencing factors. The result indicates that analysis on urban heat island effect based on split window algorithm of Beijing is available. There is a clear urban heat island in summer, and it is quite close with vegetation index. Besides, the negative correlation relationship between land surface temperature and Respirable Particulate Matter is also emphasizely analyzed.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"293 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":"114085102","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
Urban land cover information extraction combining spectral feature and oriented-object analysis 结合光谱特征和定向物分析的城市土地覆盖信息提取
2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137563
Shuangjiang Tao, D. Hu, Zhiwei Ye
{"title":"Urban land cover information extraction combining spectral feature and oriented-object analysis","authors":"Shuangjiang Tao, D. Hu, Zhiwei Ye","doi":"10.1109/URS.2009.5137563","DOIUrl":"https://doi.org/10.1109/URS.2009.5137563","url":null,"abstract":"It is well known that land cover change has important implication on urban planning, urban environment evaluation and so on. However, urban land cover information is not easy to be extracted because of its inner complexity resulting from human impact. Under this circumstance, the accurate recognition and classification of different land use types on urban area from remote sensing data has become an important task. This paper introduces an effective method, which relies on the typical ground objects' spectral responding features and interacting mechanisms, to undertake classification hierarchically. It can, effectively, reduce spectral variation in the scene origin from complex pattern of urban fields.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"43 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":"114649339","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
Space-borne high resolution SAR tomography: experiments in urban environment using TS-X Data 星载高分辨率SAR层析成像:基于TS-X数据的城市环境实验
2009 Joint Urban Remote Sensing Event Pub Date : 2009-05-20 DOI: 10.1109/URS.2009.5137534
Xiaoxiang Zhu, N. Adam, R. Brcic, R. Bamler
{"title":"Space-borne high resolution SAR tomography: experiments in urban environment using TS-X Data","authors":"Xiaoxiang Zhu, N. Adam, R. Brcic, R. Bamler","doi":"10.1109/URS.2009.5137534","DOIUrl":"https://doi.org/10.1109/URS.2009.5137534","url":null,"abstract":"Synthetic Aperture Radar (SAR) tomography aims at retrieving the 3-D reflectivity from multi-pass SAR data. It is essentially a spectrum estimation problem. As a consequence, complex values of a specific range cell in a SAR image stack as a function of baseline are closely related to the Fourier transform of the reflectivity function in the elevation direction.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"25 5 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":"127441671","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: 28
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