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Joint Urban Remote Sensing Event 2013最新文献

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Semi-automatic detection of rainfall-triggered landslides in segmented optical satellite images 分段光学卫星图像中降雨引发滑坡的半自动探测
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-07-01 DOI: 10.1109/JURSE.2013.6550713
M. Zortea, A. Salberg, R. Solberg
{"title":"Semi-automatic detection of rainfall-triggered landslides in segmented optical satellite images","authors":"M. Zortea, A. Salberg, R. Solberg","doi":"10.1109/JURSE.2013.6550713","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550713","url":null,"abstract":"A new method for rapid mapping of recent rainfall-triggered landslides using a pair of multitemporal very-high spatial resolution images acquired by optical sensors is outlined. The algorithm analyzes image segments, obtained from the post-event image, that are used to guide spectral comparisons and shape analysis of merged candidate segments. The algorithm is tested on 14.9 km2 of satellite imagery acquired in Nova Friburgo (Brazil) in 2011. Most of the landslides were detected successfully.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117251822","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
Object-oriented change detection of multi-polarization SAR images based on unitemporal image segmentation 基于单时分割的多极化SAR图像面向对象变化检测
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-07-01 DOI: 10.1109/JURSE.2013.6550693
Sun Xiaoxia, Z. JiXian, Y. Qin, Zhai Liang
{"title":"Object-oriented change detection of multi-polarization SAR images based on unitemporal image segmentation","authors":"Sun Xiaoxia, Z. JiXian, Y. Qin, Zhai Liang","doi":"10.1109/JURSE.2013.6550693","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550693","url":null,"abstract":"Object-oriented change detection is to detect change by comparing the features of image objects. Its key is how to describe the images at two temporal phases with the same segmentation boundries in order to realize the one to one comparision between the two sets of segments from two different images. In this paper, the authors put forward a novel change detection method based on unitemporal image segmentation. This method can well address this problem even without the GIS auxiliary data, and performance well in the change detection of fully polarimetric SAR images.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122568503","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
Geometric primitive extraction for 3D reconstruction of urban areas from tomographic SAR data 基于层析SAR数据的城市区域三维重建几何原始提取
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550701
O. D’Hondt, S. Guillaso, O. Hellwich
{"title":"Geometric primitive extraction for 3D reconstruction of urban areas from tomographic SAR data","authors":"O. D’Hondt, S. Guillaso, O. Hellwich","doi":"10.1109/JURSE.2013.6550701","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550701","url":null,"abstract":"In this paper we propose a method that performs an automatic extraction of geometric primitives from tomographic SAR data. This technique allows to identify surfaces by assuming they can be locally described by a piecewise planar model. It is therefore suitable to reconstruct man-made structures in urban areas. Our approach takes advantage of the spatial connectivity of points from tomographic height maps in order to retrieve planar patches from noise corrupted point clouds. We demonstrate how our method outperforms the well-known RANSAC algorithm over synthetic and experimental data.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121081751","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: 14
Advanced stacking of TerraSAR-X and TanDEM-X data in complex urban areas TerraSAR-X和TanDEM-X数据在复杂城市地区的高级叠加
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550679
K. Goel, N. Adam
{"title":"Advanced stacking of TerraSAR-X and TanDEM-X data in complex urban areas","authors":"K. Goel, N. Adam","doi":"10.1109/JURSE.2013.6550679","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550679","url":null,"abstract":"This paper presents the fusion of monostatic repeat-pass and bistatic single-pass SAR data for an improved 3D positioning and deformation monitoring of objects in urban areas. Addition of a few TanDEM-X data pairs (which are free from displacement, atmosphere and temporal decorrelation) to the existing TerraSAR-X data stack can improve the results of stacking techniques such as Persistent Scatterer Interferometry (PSI). However, in dense urban areas, geometrical limitations such as layover make it difficult for an accurate mapping using the standard TanDEM-X elevation models. In this paper, we investigate the potential of jointly processing TerraSAR-X and TanDEM-X data for resolving single or double scattering mechanisms present in the same resolution cell. The technical details and demonstration are provided using high resolution spotlight mixed TerraSAR-X /TanDEM-X data of Las Vegas, US.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124810578","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 heat island development during the last two decades in Porto Alegre, Brazil and its monitoring 巴西阿雷格里港近二十年城市热岛发展及其监测
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550666
Atilio Efrain Bica Grondona, Bijeesh KV, Silvia Beatriz Alves Rolim
{"title":"Urban heat island development during the last two decades in Porto Alegre, Brazil and its monitoring","authors":"Atilio Efrain Bica Grondona, Bijeesh KV, Silvia Beatriz Alves Rolim","doi":"10.1109/JURSE.2013.6550666","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550666","url":null,"abstract":"This paper describes the development of urban heat island during the last two decades in Porto Alegre, Brazil. Landsat TM images were used for this study and image processing steps were done using MATLAB and Erdas Imagine software packages for the successful monitoring of this urban phenomenon. It is found that there was a significant increase in the surface mean temperature and land use during this period. Reforested area showed significant decrease in land surface temperature.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"40 15","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114085340","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
Statistical approaches for multichannel phase unwrapping 多通道相位展开的统计方法
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550702
F. Baselice, D. Chirico, G. Ferraioli, Gilda Schirinzi
{"title":"Statistical approaches for multichannel phase unwrapping","authors":"F. Baselice, D. Chirico, G. Ferraioli, Gilda Schirinzi","doi":"10.1109/JURSE.2013.6550702","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550702","url":null,"abstract":"Synthetic Aperture Radar Interferometry allows the generation of Digital Elevation Model of an observed scene exploiting the phase signal. In order to provide the 3D reconstruction, a phase unwrapping procedure is required, which is an ill-posed problem. Multichannel datasets are able to solve the ambiguity providing a global solution. Within this manuscript two recently proposed statistical multichannel phase unwrapping methods are considered and compared. The first one is developed in the Bayesian-Markovian framework, while the second one is based on Kalman filtering. Results and comparisons on a simulated data set are reported, showing interesting results.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128188724","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
Man-made objects detection using multi-mode X-band PolInSAR data 利用多模x波段PolInSAR数据进行人造物体探测
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550683
Lijun Lu, Jixian Zhang, Guoman Huang
{"title":"Man-made objects detection using multi-mode X-band PolInSAR data","authors":"Lijun Lu, Jixian Zhang, Guoman Huang","doi":"10.1109/JURSE.2013.6550683","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550683","url":null,"abstract":"This paper makes man-made objects detection experiment with the high-resolution X-band PolInSAR data acquired by Multi-mode airborne SAR system over an area around Linshui. Polarimetric and PolInSAR analysis for manmade objects are presented, some polarimetric and PolInSAR descriptors sensitive to man-made objects are selected. Experimental result of man-made objects detection demonstrates that multi-mode-XSAR dataset have intuitive capabilities for application of man-made objects detection.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133559177","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 area mapping using ASAR wide swath mode and Landsat data: A comparison on eastern China 基于ASAR宽幅模式和Landsat数据的中国东部城市制图比较
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550682
P. Gamba, G. Lisini, G. Trianni, E. Angiuli
{"title":"Urban area mapping using ASAR wide swath mode and Landsat data: A comparison on eastern China","authors":"P. Gamba, G. Lisini, G. Trianni, E. Angiuli","doi":"10.1109/JURSE.2013.6550682","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550682","url":null,"abstract":"Mapping human settlements on wide geographical areas may require the use of multiple sensors, possibly with different spatial resolution. The objective of this research is to compare human settlement maps extracted using both ASAR Wide Swath Mode data at 75 m spatial posting and multispectral Landsat data at 30 m spatial posting in eastern China. This paper provides a detailed comparison among the results of different methodologies and with respect to independent extractions, both visually and by means of quantitative accuracy indexes. Considering the global coverage, multitemporal ASAR WSM data are quite promising for urban monitoring, but its coarser spatial resolution makes it more suitable for larger human settlements.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128892480","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
Intraurban land cover classification using IKONOS II images and data mining techniques: A comparative analysis 基于IKONOS II图像和数据挖掘技术的城市内土地覆盖分类:比较分析
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550703
V. da Silva Brum, L. M. Garcia, T. Korting, C. M. Duque, Rafael Duarte Coelho dos
{"title":"Intraurban land cover classification using IKONOS II images and data mining techniques: A comparative analysis","authors":"V. da Silva Brum, L. M. Garcia, T. Korting, C. M. Duque, Rafael Duarte Coelho dos","doi":"10.1109/JURSE.2013.6550703","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550703","url":null,"abstract":"High spatial resolution image analysis acquired over urban areas has been performed with success using Geographic Object Based Analysis (GEOBIA). However, it was observed that the use of data mining techniques in the image analysis procedures can speed up the processing time by selecting the most appropriate parameters for classification process without decreasing the classification accuracy. Therefore, this work aims at comparing some algorithms for classifying intra-urban land cover using IKONOS II images and data mining techniques. Three classification algorithms, KNN, MLP and C4.5 were analyzed.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"282 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115424839","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
A method of deriving DEM from airborne LiDAR points cloud data 基于机载激光雷达点云数据的DEM提取方法
Joint Urban Remote Sensing Event 2013 Pub Date : 2013-04-21 DOI: 10.1109/JURSE.2013.6550654
Hui Wang, Yang Zhang, Peng-cheng Li, Xuan Zha
{"title":"A method of deriving DEM from airborne LiDAR points cloud data","authors":"Hui Wang, Yang Zhang, Peng-cheng Li, Xuan Zha","doi":"10.1109/JURSE.2013.6550654","DOIUrl":"https://doi.org/10.1109/JURSE.2013.6550654","url":null,"abstract":"LiDAR data is the new source of obtaining DEM. In this paper, an acquiring DEM method using this data source is promoted, which firstly screens the last and single return waves, then builds TIN to acquire the nearby points' information of each point which helps filtering, lastly removes the isolated points and generates DEM. The experimental results show that this method is available and effective.","PeriodicalId":370707,"journal":{"name":"Joint Urban Remote Sensing Event 2013","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115783096","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
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