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2015 Joint Urban Remote Sensing Event (JURSE)最新文献

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Relationships analysis of land surface temperature with vegetation indicators and impervious surface fraction by fusing multi-temporal and multi-sensor remotely sensed data 基于多时相多传感器遥感数据融合的地表温度与植被指标和不透水面比例的关系分析
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120459
Liwen Huang, Huanfeng Shen, Penghai Wu, Liangpei Zhang, Chao Zeng
{"title":"Relationships analysis of land surface temperature with vegetation indicators and impervious surface fraction by fusing multi-temporal and multi-sensor remotely sensed data","authors":"Liwen Huang, Huanfeng Shen, Penghai Wu, Liangpei Zhang, Chao Zeng","doi":"10.1109/JURSE.2015.7120459","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120459","url":null,"abstract":"It is known that vegetation, and impervious surface are very important factors to affect the LST distribution in surface urban heat island (SUHI) analysis. However, the trade-off between temporal resolution and spatial resolution and/or the influence of cloud covering, make it difficult to obtain fine-scale spatial-temporal relationship analysis. To relieve these difficulties, this study employs multi-temporal and multi-sensor fusion methods for summer spatial-temporal relationships of Land surface temperature (LST) with normalized difference vegetation index (NDVI), vegetation fraction (VF) and impervious surface fraction (ISF) analysis on Wuhan city of China. Here, the correlation analysis was extended from two-dimensional to three-dimensional by using the continuous fused data (from 1988 to 2013). Our analysis indicates there is a strong negative relationship between LST and NDVI as well as VF, whereas the relationship between LST and ISF is obvious positive correlation. In addition, we also find that all these relationships are spatial-temporal steady. This result suggest that increasing impervious surface area means enhance LST, whereas increasing vegetation means weaken LST in summer, especially in the “warm edge” area. We believe the use of continuous long-term data weakened the interference of data quality and improve the reliability.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"76 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130603476","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
Extracting 3D urban models from oblique aerial images 从倾斜航拍图像中提取三维城市模型
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120479
N. Haala, M. Rothermel, S. Cavegn
{"title":"Extracting 3D urban models from oblique aerial images","authors":"N. Haala, M. Rothermel, S. Cavegn","doi":"10.1109/JURSE.2015.7120479","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120479","url":null,"abstract":"Oblique airborne cameras are increasingly used for area covering image collection of building facades in urban environments. Until recently, these images were mainly used to improve the visual appearance of relatively simple 3D building models by providing suitable facade texture. Meanwhile, oblique airborne images are also used to generate dense 3D point clouds using state-of-the-art pixel-based multi-stereo image matching. Subsequently, these point clouds can then enhance the amount of geometric and semantic detail of 3D urban models especially for the depicted building facades. However, occlusions and large view-point changes are especially demanding during dense image matching can be very challenging for oblique imagery in complex urban environment. As described in the paper, our matching pipeline tackles these problems by a coarse-to-fine modification of the SGM method. Furthermore the raw 3D point clouds are efficiently analyzed and filtered in subsequent steps, thus 3D data capture from oblique airborne imagery while aiming at the extraction of 3D urban models becomes feasible.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116911766","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: 52
Mapping people distribution at very high resolution from remote sensing imagery and a priori coarse people counts 根据遥感图像和先验的粗略人口计数，以非常高的分辨率绘制人口分布
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120473
L. Gueguen
{"title":"Mapping people distribution at very high resolution from remote sensing imagery and a priori coarse people counts","authors":"L. Gueguen","doi":"10.1109/JURSE.2015.7120473","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120473","url":null,"abstract":"The paper presents a fast and fully automatic method for estimating people distribution maps at very high resolution (≥ 25 m) from VHR optical imagery. This method is implemented in the High-res Urban Globe (HUG) suite of tools developed at DigitalGlobe, Inc. The methods relies on the a priori knowledge of coarse people counts to train a model acting on building features extracted from VHR imagery. Experiments and results show the high fidelity of HUG population density estimate to detailed census data.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125575658","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
Detection of single scatterers in multilook SAR Tomography 多视点SAR成像中单散射体的检测
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120464
D. Reale, Walter Franzé, A. Pauciullo, F. Sica, S. Verde, G. Fornaro
{"title":"Detection of single scatterers in multilook SAR Tomography","authors":"D. Reale, Walter Franzé, A. Pauciullo, F. Sica, S. Verde, G. Fornaro","doi":"10.1109/JURSE.2015.7120464","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120464","url":null,"abstract":"Many recent interferometric and tomographic SAR algorithms aimed at enhancing the monitoring performances on distributed areas affected by decorrelation phenomena have been proposed in the last years. These algorithms are based on the exploitation of the data covariance matrix, estimated on real data through the coherent averaging of statistically similar pixels, to improve signal-to-noise ratio and extract a decorrelation-filtered interferometric signal. Estimation of the covariance matrix on real data is, however, a challenging task since multilooking typically implies biased estimations as well as resolution losses which have to be properly handled. In this paper we discuss about the state-of-the-art and open issues for accurate estimation of covariance matrices on real data, for the applications in scatterer detection in SAR Tomography.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126812935","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
Airborne surface temperature differences of the different Local Climate Zones in the urban area of a medium sized city 某中型城市市区不同局地气候带的空气表面温差
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-09 DOI: 10.1109/JURSE.2015.7120497
N. Skarbit, T. Gál, J. Unger
{"title":"Airborne surface temperature differences of the different Local Climate Zones in the urban area of a medium sized city","authors":"N. Skarbit, T. Gál, J. Unger","doi":"10.1109/JURSE.2015.7120497","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120497","url":null,"abstract":"This paper presents a case study about the surface temperature characteristics of the different Local Climate Zones (LCZ) in Szeged, Hungary. For the evaluation we apply high resolution surface temperature data acquired by a low-cost small-format digital imaging system, measured in early night hours. The map of Local Climate Zones for the study area is derived by an automatic GIS method for LCZ classification. The results show that the different LCZ classes have different surface temperature characteristics. Among the densely populated LCZ classes the open low-rise has the lowest surface temperature, thus it is can be the most favorable urban built-up type if the aim is the decrease the effect of the urban heat load.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114370863","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
Some new research directions to explore in urban reconstruction 城市改造的一些新的研究方向有待探索
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-30 DOI: 10.1109/JURSE.2015.7120488
Florent Lafarge
{"title":"Some new research directions to explore in urban reconstruction","authors":"Florent Lafarge","doi":"10.1109/JURSE.2015.7120488","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120488","url":null,"abstract":"In this paper we present an update on the geometric modeling of urban scenes from physical measurements. This field of research has been studied for more than thirty years, but remains an important challenge in many scientific communities as photogrammetry, computer vision, robotics or computer graphics. After introducing the objectives and difficulties of urban reconstruction, we present an non-exhaustive overview of the approaches and trends that have inspired the research communities so far.We also propose some new research directions that might be worth investigating in the coming years.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114388693","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: 12
Land surface temperature in the urban area of Lyon metropolis: A comparative study of remote sensing data and MesoNH model simulation 里昂市区地表温度:遥感数据与MesoNH模式模拟的比较研究
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-30 DOI: 10.1109/JURSE.2015.7120528
Julita Diallo-Dudek, B. Lacaze, J. Comby
{"title":"Land surface temperature in the urban area of Lyon metropolis: A comparative study of remote sensing data and MesoNH model simulation","authors":"Julita Diallo-Dudek, B. Lacaze, J. Comby","doi":"10.1109/JURSE.2015.7120528","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120528","url":null,"abstract":"This work is the first attempt to characterize the Surface Heat Island (SHI) of Lyon, using a dual approach: remote sensing and modeling. The remote sensing approach is based upon the processing of Landsat imagery : daytime Landsat 5 TM images (11th April 2011) and nighttime Landsat 7 ETM+ images (30th April 2011). For the modeling MesoNH, a non-hydrostatic mesoscale atmospheric model is used. For the most case LST retrieved from Landsat and LST obtained by modeling are compared. Means of surface temperature are close to 0.5°C to 2°C. The differences between two methods depend on the day or night conditions, and the accuracy of land cover database.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"67 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132624274","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
Parameterisation of layover detector for urban analysis in InSAR data InSAR数据中用于城市分析的中途停留探测器参数化
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120467
C. Dubois, A. Thiele, A. Welte, S. Hinz
{"title":"Parameterisation of layover detector for urban analysis in InSAR data","authors":"C. Dubois, A. Thiele, A. Welte, S. Hinz","doi":"10.1109/JURSE.2015.7120467","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120467","url":null,"abstract":"Building detection is an important topic in InSAR data analysis. Due to the high resolution of modern SAR systems, analysis of urban areas by interferometry is now possible. This opens the floor to new applications, considering not only magnitude images, but also phase images. For this reason, we developed a ramp detector that extracts layover areas of buildings. In this paper, we describe the parameterisation of the layover detector and describe a strategy for specifying the best-suited parameters. Finally, we show results of our parameterisation approach.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114163287","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
Fusion of panchromatic and multispectral images for classification using the Chinese restaurant franchise with shaped tables 融合全色和多光谱图像，利用中国餐馆特许经营的形状桌子进行分类
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120534
T. Mao, Hong Tang, S. He, Y. Shu, Jianjun Wu
{"title":"Fusion of panchromatic and multispectral images for classification using the Chinese restaurant franchise with shaped tables","authors":"T. Mao, Hong Tang, S. He, Y. Shu, Jianjun Wu","doi":"10.1109/JURSE.2015.7120534","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120534","url":null,"abstract":"In this paper, we propose a novel framework to fuse both panchromatic (PAN) and multispectral (MS) images for classification under a Chinese restaurant franchise metaphor (CRF). In the metaphor of CRF, one kind of observations would be interpreted by using two sequent random processes: a customer randomly selects a table in a restaurant to sit and randomly selects a dish to eat for a newly occupied table. In our method, shaped tables (i.e., local semantic segments) are discovered from panchromatic images in the process of table selection. In the other process, a dish (i.e., an unsupervised class label) is allocated based on multispectral images for each table discovered in panchromatic images. This approach takes advantage of the rich spatial and spectral information in panchromatic and multispectral image respectively. The result indicates that the proposed algorithm outperforms these exiting state-of-art methods in all of the experiments.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115327569","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
Exploiting Earth Observation data products for mapping Local Climate Zones 利用地球观测数据产品绘制局地气候带图
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120456
Z. Mitraka, F. Frate, N. Chrysoulakis, J. Gastellu-Etchegorry
{"title":"Exploiting Earth Observation data products for mapping Local Climate Zones","authors":"Z. Mitraka, F. Frate, N. Chrysoulakis, J. Gastellu-Etchegorry","doi":"10.1109/JURSE.2015.7120456","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120456","url":null,"abstract":"Earth Observation (EO) systems and the advances in remote sensing technology increase the opportunities for monitoring the thermal behaviour of cities. Several parameters related to the urban climate can be quantified from EO data products, providing valuable support for advanced urban studies and climate modelling. In this study, remote sensing techniques are applied to derive quantitative information necessary to identify the Local Climate Zones (LCZ). Parameters like the pervious and impervious surface fraction, the surface albedo, the building density, the mean building/tree height and the sky view factor are quantified and used to map possible zones with homogeneous thermal characteristics, considered as LCZ.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"361 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116322448","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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