2015 Joint Urban Remote Sensing Event (JURSE)最新文献_第8页

Deriving canopy metrics of urban trees from airborne laser scanning data 基于机载激光扫描数据的城市树木冠层度量

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120518

Topi Tanhuanpää, V. Kankare, M. Vastaranta, N. Saarinen, M. Holopainen, J. Raisio

引用次数: 1

Object-based image analysis for urban land cover classification in the city of Campinas - SP, Brazil 巴西坎皮纳斯- SP城市土地覆盖分类的基于目标的图像分析

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120351

D. G. M. Franca, R. G. Lotte, C. Almeida, Sacha M. O. Siani, T. Korting, Leila Maria Garcia Fonseca, L. Silva

{"title":"Object-based image analysis for urban land cover classification in the city of Campinas - SP, Brazil","authors":"D. G. M. Franca, R. G. Lotte, C. Almeida, Sacha M. O. Siani, T. Korting, Leila Maria Garcia Fonseca, L. Silva","doi":"10.1109/JURSE.2015.7120351","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120351","url":null,"abstract":"Classifiers that make use of pixel-by-pixel approaches are limited in the high spatial and radiometric resolution of urban areas, that happens mostly because of the similarity between the target's spectral response like ceramic roofs and bare soil. Because of that, the literature favors approaches that make use of object-oriented analysis for image interpretation, those approaches make a better use of the high spatial resolution and do not use only the target spectral response. Assuming that the object-oriented analysis is a favorable approach to be employed for intra-urban image classification, this paper will assess the results of such approach through an implementation of it in an urbanized area from the city of Campinas (Brazil), which has a size close to twelve square kilometers. Making use of the fusion of high spatial resolution image from Worldview-2 sensor and it's panchromatic band, the experiments were performed with the use of eCognition Developer 8 as the segmentation platform, and the classification being based on a decision tree generated by J48 (C4.5) algorithm on the software WEKA. This work also assess which approach best suits the experiment needs, being an optimal attribute selection achieved through a Wrapper filter, with a final kappa statistic of 0.9425.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"89 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":"126226123","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

Automatic hybrid-based built-up area extraction from Landsat 5, 7, and 8 data sets 从Landsat 5、7和8数据集中自动提取基于混合的建成区

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120475

M. Harb, D. Vecchi, F. Dell’acqua

引用次数: 5

Building and site reconstruction from small scale unmanned aerial vehicles (UAV's) 小型无人机(UAV)建筑与场地重建

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120481

F. Fraundorfer

引用次数: 4

Integration of Gaussian process and MRF for hyperspectral image classification 高斯过程与MRF相结合的高光谱图像分类

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120519

Wentong Liao, Jun Tang, B. Rosenhahn, M. Yang

{"title":"Integration of Gaussian process and MRF for hyperspectral image classification","authors":"Wentong Liao, Jun Tang, B. Rosenhahn, M. Yang","doi":"10.1109/JURSE.2015.7120519","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120519","url":null,"abstract":"In this paper, we propose a framework GP-MRF, which combines Gaussian processes (GPs) and Markov random field (MRF) for accurate classification of hyperspectral remote sensing image (HSI) data. This method exploits the relationship among adjacent pixels and integrates it into spectral information to obtain spectral-spatial classification. This framework consists of two steps. Firstly, a GP classifier (GPC) yields pixelwise predictive probability for each class. Secondly, an MRF is applied to extract spatial contextual information in the label map achieved in the first step. Then the classification results are inferred from the spectral-spatial information. By means of MRF regularization an enhanced classification result has been obtained. The experiments are performed on three hyperspectral benchmark datasets. The results from the GPC are compared with those obtained by state-of-the-art classification approaches and demonstrate that, GP model is a competitive tool for classification of HSI in terms of accuracy. Furthermore, the experimental results indicate that our proposed method GP-MRF improves the classification accuracy of conventional GPC.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"45 4-5 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":"133004881","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

Monitoring Beijing inner city transformation from 1966 to 2010 1966 - 2010年北京内城改造监测

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120476

Antoine Lefebvre, T. Corpetti

引用次数: 0

Does vegetation mitigate the temperature in urban area or it follows the temperature of its surrounding? 植被是减缓城市地区的温度还是跟随周围的温度?

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120485

Sadroddin Alavipanah, S. Qureshi, D. Haase

引用次数: 1

Investigating the combined use of differential SAR tomography and PSI for spatio-temporal inversion 研究差分SAR层析成像和PSI在时空反演中的联合应用

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120504

M. A. Siddique, I. Hajnsek, German Aersospace, U. Wegmüller, O. Frey

引用次数: 6

On the evaluation of higher-order cliques for road network extraction 路网提取中高阶团的评价

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120492

Javier A. Montoya-Zegarra, J. D. Wegner, L. Ladicky, K. Schindler

引用次数: 4

Urban vegetation classification based on phenology using HJ-1A/B time series imagery 基于HJ-1A/B时间序列影像物候的城市植被分类

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-03-01 DOI: 10.1109/JURSE.2015.7120477

Feng Li, Liujun Zhu, Liu Han, Huang Yinyou, Peijun Du, Ebenezer Adaku

引用次数: 3