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

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BRDF-based correction of colorized aerial LiDAR point clouds 基于brdf的彩色航空LiDAR点云校正
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120471
Sharif Hasan, J. Jansa, N. Pfeifer
{"title":"BRDF-based correction of colorized aerial LiDAR point clouds","authors":"Sharif Hasan, J. Jansa, N. Pfeifer","doi":"10.1109/JURSE.2015.7120471","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120471","url":null,"abstract":"The BRDF (Bi-directional Reflectance Distribution Function) describes the scattering properties of the surface as a function of the incidence direction, viewing geometry and wave length, and typically depends on the land-cover type being observed. In our work a laser scanning point cloud should be assigned multispectral values from aerial images. Since each laser point is covered by up to nine images, i.e. in general by nine different colour vectors, a unique set of colour vectors is sought for through radiometric correction by applying an optimal BRDF. As BRDF the widely used linear semi-empirical modified Walthall model has been chosen, for which the parameters should be determined by least squares adjustment. For the evaluation mostly uniform areas of four different object classes, such as road surfaces, lawn and grass area, trees and high vegetation, and roof tops, were used. It could be shown that the simple Walthall model yields acceptable results.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"7 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":"114492004","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
On the effect of nonlinear mixing in hyperspectral images of human settlements 人类住区高光谱图像非线性混合效应研究
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120484
A. Marinoni, P. Gamba
{"title":"On the effect of nonlinear mixing in hyperspectral images of human settlements","authors":"A. Marinoni, P. Gamba","doi":"10.1109/JURSE.2015.7120484","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120484","url":null,"abstract":"In this paper, the nonlinear contribution of human settlements to mixture in hyperspectral images is investigated. Specifically, a method that aims to efficiently evaluate and estimate the extent of urban areas by taking advantage of the results provided by polynomial nonlinear unmixing based on polytope decomposition is proposed. Tests over real images shows how the proposed scheme can actually highlight anthropogenic extents over geometrically complex scenarios.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"37 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":"126880389","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
The utility of the co-occurrence matrix to extract slum areas from VHR imagery 利用共现矩阵从VHR图像中提取贫民窟
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120514
M. Kuffer, R. Sliuzas, K. Pfeffer, I. Baud
{"title":"The utility of the co-occurrence matrix to extract slum areas from VHR imagery","authors":"M. Kuffer, R. Sliuzas, K. Pfeffer, I. Baud","doi":"10.1109/JURSE.2015.7120514","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120514","url":null,"abstract":"Many cities in developing countries lack detailed information on the emergence and growth of highly dynamic slum developments. Available statistical data are often aggregated to large administrative units that are heterogeneous and geographically rather meaningless in terms of pro-poor policy development. Such general base information neither allows a spatially disaggregated analysis of deprivations nor are settlement dynamics easily monitored, while slums are rapidly developing in particular in megacities. This paper explores the utility of the co-occurrence matrix (GLCM) and NDVI to distinguish between slums and formal built-up areas in very high spatial and spectral resolution satellite imagery (i.e., 8-Band images of WorldView-2). For this study, an East-West cross-section of Mumbai in India was used. We employed image segmentation to extract homogenous urban patches (HUPs) for which the information extracted from the GLCM was aggregated. The result was evaluated using collected ground-truth information and visual image interpretation. The results showed that the variance of the GLCM combined with the NDVI separate formal built-up and slum areas very well (overall accuracy of 86.7%).","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"41 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":"127886950","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: 10
Spectral unmixing of urban Landsat imagery by means of neural networks 基于神经网络的城市Landsat影像光谱分解
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120463
Z. Mitraka, F. Frate, F. Carbone
{"title":"Spectral unmixing of urban Landsat imagery by means of neural networks","authors":"Z. Mitraka, F. Frate, F. Carbone","doi":"10.1109/JURSE.2015.7120463","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120463","url":null,"abstract":"Mapping urban surfaces using Earth Observation data is one the most challenging tasks of remote sensing field, because of the high spatial and spectral diversity of man-made structures. Spectral unmixing techniques, although designed and mainly used with hyperspectral data, can be proven useful for use with spectral data as well to assess sub-pixel information. For urban areas, the large spectral variability imposes the use of multiple endmember spectral mixture analysis techniques, which are very demanding in terms of computation time. In this study, an artificial neural network is used to inverse the pixel spectral mixture in Landsat imagery. To train the network, a spectal library was created, consisting of pure endmember spectra collected from the image and synthetic mixed spectra produced from combinations of the pure ones. Among the advantages of using a neural network is its low computational demand and its ability to capture non-linearities in the spectral mixture.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"54 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":"128185179","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: 7
Improved extraction of urban extents from ASAR Wide Swath data 改进了从ASAR宽带数据提取城市范围的方法
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120487
G. Lisini, P. Gamba, Peijun Du
{"title":"Improved extraction of urban extents from ASAR Wide Swath data","authors":"G. Lisini, P. Gamba, Peijun Du","doi":"10.1109/JURSE.2015.7120487","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120487","url":null,"abstract":"It has been already proved that ASAR Wide Swath Mode data can be used to extract human settlement extents at the global level with a consistent quality all over the world. To improve this performance, a different and more refined approach has been designed and tested. The improved procedure involves the knowledge about the amount of scenes that are combined for the input ASAR WSM data to the procedure, as well as additional checks on coastal areas and arid environments. It is shown that the improved procedure provides better results by comparison with existing urban extents for major cities mainland China, aggregated at the province level.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"8 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":"127264015","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
At the edge of the city center 在市中心的边缘
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120512
M. Wurm, H. Taubenböck, J. Göbel, G. Wagner
{"title":"At the edge of the city center","authors":"M. Wurm, H. Taubenböck, J. Göbel, G. Wagner","doi":"10.1109/JURSE.2015.7120512","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120512","url":null,"abstract":"Cities are structured into sub-units such as the city center or business districts and peripheral areas. From a spatial perspective, discrimination or delineation of the city center is a very challenging task as there exist numerous ways to characterize city centers: besides functional characteristics, also morphological features can be used. In this paper, we present a study which links the floor area ratio (FAR) with individual perception of citizens to investigate the correlation between perception and morphology. Urban morphology from large-area digital surface models from Cartosat-1 and socio-economic panel data is used to identify a potential perceptional border between the city center and the periphery when the FAR drops below 50% in relation to the center.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"26 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":"130662652","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
Recent advances in thermal remote sensing for urban planning and management 热遥感用于城市规划和管理的最新进展
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120515
B. Bechtel
{"title":"Recent advances in thermal remote sensing for urban planning and management","authors":"B. Bechtel","doi":"10.1109/JURSE.2015.7120515","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120515","url":null,"abstract":"Cities contribute to global warming and are particularly affected by it but they also generate new solutions for climate protection and adaptation. This requires planning under great uncertainties. Therefore, a good understanding of the urban climate and its spatial structure are essential. Besides, soft measures like real time monitoring and warning systems that decrease the sensitivity of the affected population should be considered. In this paper it is shown that thermal remote sensing can contribute to both - mapping the thermal heterogeneity and real time monitoring of air temperatures. Two recent approaches are highlighted in this case study for Belgium and the Netherlands. The annual cycle parameters (ACP) derive information from a large number of thermal infrared satellite observations and allow more generic assessment of spatial thermal surface characteristics. The multi-temporal air temperature estimation scheme (MATES) allows more precise prediction of air temperatures from satellite data.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"16 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":"128761814","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
Processing high resolution images of urban areas with self-dual attribute filters 基于自双属性滤波的城市高分辨率图像处理
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120491
Gabriele Cavallaro, M. Mura, J. Benediktsson
{"title":"Processing high resolution images of urban areas with self-dual attribute filters","authors":"Gabriele Cavallaro, M. Mura, J. Benediktsson","doi":"10.1109/JURSE.2015.7120491","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120491","url":null,"abstract":"The application of remote sensing to the study of human settlements relies on the availability of different types of image sources which provide complementary measurements for the characterization of urban areas. By analyzing images of very high spatial resolution (metric and submetric pixel size) it is possible to retrieve information on buildings (e.g., characterizing their size and shape) and districts (e.g., assessing settlement density and urban sprawl). In this context, mathematical morphology provides a set of tools that are useful for the characterization of geometrical features in urban images. Among those tools, attribute filters (AF) have proven to effectively extract these spatial characteristics. In this paper, we propose AF based on the inclusion tree structure as an efficient technique for generating features suitable for structure extraction in an urban environment. We address the issue by combining the area and moment of inertia attributes and proving the potential of this filter in the analysis of the data acquired by different types of sensors (i.e., Optical, LiDAR and SAR images).","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"26 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":"123794093","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
MODIS 4 µm radiance in global megacities depends on seasonality, land cover, and view zenith angle 全球大城市的MODIS 4µm辐射取决于季节性、土地覆盖和视图天顶角
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120507
M. Tomaszewska, V. Kovalskyy, G. Henebry
{"title":"MODIS 4 µm radiance in global megacities depends on seasonality, land cover, and view zenith angle","authors":"M. Tomaszewska, V. Kovalskyy, G. Henebry","doi":"10.1109/JURSE.2015.7120507","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120507","url":null,"abstract":"We explored variation in 4 μm radiance in and nearby eight global megacities using MODIS band 23 calibrated radiance. We found the linkage between MIR radiance seasonality and seasonal pattern of insolation, especially stronger/pronounced at higher latitude than at tropics zones. The meteorological parameter - precipitation was identified as an impact factor of MIR radiance attenuation. Similarity of MIR radiance from desert, bare soil areas, or areas with a little of crop cover to MIR radiance from urban areas makes the distinction of cover using only MIR information even impossible during the time when insolation is the highest. Also, the seasonal variations of MIR radiance are being affected by the heterogeneity of cover as different types of building and construction materials, and urban green spaces. Conceivably, additional data and MIR radiance with higher spatial resolution improve and refine/detail information about MIR radiance behavior for further investigation.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"581 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":"131890235","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
Integrating spectral and textural features for urban land cover classification with hyperspectral data 结合光谱和纹理特征的城市土地覆盖分类与高光谱数据
2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120517
B. Kumar, O. Dikshit
{"title":"Integrating spectral and textural features for urban land cover classification with hyperspectral data","authors":"B. Kumar, O. Dikshit","doi":"10.1109/JURSE.2015.7120517","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120517","url":null,"abstract":"This paper presents a supervised classification framework that integrates discrete wavelet transform (DWT) based spectral and textural features for the urban land cover classification using hyperspectral data. Investigations involved application of 1-D DWT along the wavelength dimension of the hyperspectral data followed by 2-D DWT along spatial dimensions for spectral and texture feature extraction respectively. The combined spectral textural feature set is used for classification. The pixel wise classification on ROSIS data using SVM reveals that integration of spectral and textural information can better characterize the urban areas and statistically significantly improves the classification accuracy.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"4 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":"122799453","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
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