2015 Joint Urban Remote Sensing Event (JURSE)最新文献_第5页

Urban water body detection from the combination of high-resolution optical and SAR images 高分辨率光学影像与SAR影像相结合的城市水体检测

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120525

Chuiqing Zeng, Jinfei Wang, Xiaodong Huang, S. Bird, J. Luce

引用次数: 4

Feature selection for urban impervious surfaces estimation using optical and SAR images 基于光学和SAR影像的城市不透水面估算特征选择

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120483

Hongsheng Zhang, Hui Lin

{"title":"Feature selection for urban impervious surfaces estimation using optical and SAR images","authors":"Hongsheng Zhang, Hui Lin","doi":"10.1109/JURSE.2015.7120483","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120483","url":null,"abstract":"Urban impervious surfaces, such as transport related land (e.g., roads, streets, and parking lots) and building roof tops (commercial, residential, and industrial areas), have been widely recognized as important indicator for urban environments. Numerous methods have been proposed to estimate impervious surfaces from remotely sensed images. However, most of these approaches were proposed with optical remote sensing images, and accurate estimation of impervious surfaces remains challenging due to the diversity of urban land covers. This study presents the effort to synergistically combine optical and SAR data to improve the mapping of impervious surfaces using the Random Forest (RF). The Multilayer Perceptron, Support Vector Machine, and RF are compared for impervious surfaces mapping with the single use of optical image and with the combined optical and SAR images. Experiment shows some interesting results: 1) synergistic use of SPOT-5 and TerraSAR-X images produced more accurate classification of impervious surface mapping, no matter what combinations of features are used; 2) The SAN-based features appeared to provide effective complementary information to the conventional GLCM-based features for the classification, increasing the accuracy by about 0.6% by using supervised classifiers; 3) SVM and RF tended to be superior to MLP for the fusion of SPOT-5 and TerraSAR-X images for LULC classification and ISE. RF is better for the LULC classification as it better handled the spectral confusion among sub types of impervious and non-impervious land covers, while SVM appeared more stable before and after the combination of sub land cover types, and thus is more suitable for the ISE with the classification strategies of mapping impervious surface.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"1 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":"131096974","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

Building change detection in satellite stereo imagery based on belief functions 基于信念函数的卫星立体图像建筑变化检测

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120482

Jiaojiao Tian, P. Reinartz, J. Dezert

{"title":"Building change detection in satellite stereo imagery based on belief functions","authors":"Jiaojiao Tian, P. Reinartz, J. Dezert","doi":"10.1109/JURSE.2015.7120482","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120482","url":null,"abstract":"3D Building change detection has become a popular research topic along with the improvement of image quality and computer science. When only building changes are of interest, both the multi-temporal images and Digital Surface Models provide valuable but not comprehensive information in the change detection procedure. Therefore, in this paper, belief functions have been adopted for fusing information from these two sources. In the first step, two change indicators are proposed by focusing on building changes. Both indicators have been projected to a sigmoid curve, in which both the concordance and discordance indexes are considered. In order to fuse the concordance and discordance indexes and further fuse the two change indicators, two belief functions are considered. One is the original Dempster-Shafer Theory (DST), and the most recent one is Dezert-Smarandache Theory (DSmT). This paper shows how these belief-based frameworks can help in building change detection problem. Besides using different belief functions in obtaining the global BBAs, four decision-making criteria are tested to extract final building change masks. The results have been validated by compared to the manually extracted change reference mask.","PeriodicalId":207233,"journal":{"name":"2015 Joint Urban Remote Sensing Event (JURSE)","volume":"5 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":"123806844","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

Monitoring urban transformation in the old city of Shanghai and its former foreign settlements from 1985 to 2014 1985 - 2014年上海老城及其前外资聚落城市转型监测

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120529

Antoine Lefebvre, Jeremy Cheval

引用次数: 1

An improved semi-supervised local discriminant analysis for feature extraction of hyperspectral image 一种改进的半监督局部判别分析用于高光谱图像特征提取

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120508

Renbo Luo, Wenzi Liao, W. Philips, Y. Pi

引用次数: 11

Quality-based building-texture selection from different sensors 基于质量的建筑纹理选择

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120352

Dorota Iwaszczuk, L. Hoegner, Uwe Stilla

引用次数: 5

Manhole cover detection using a geometrical filter on very high resolution aerial and satellite images 使用几何滤波器对非常高分辨率的航空和卫星图像进行井盖检测

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120521

O. Bartoli, N. Chahinian, A. Allard, J. Bailly, K. Chancibault, F. Rodriguez, C. Salles, M. Tournoud, C. Delenne

引用次数: 7

Remote sensing image processing to identify spatial units of human occupation along Trans-Amazonian Highway (BR-230), Brazil 巴西跨亚马逊公路(BR-230)沿线人类居住空间单元的遥感图像处理

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120541

J. Pavanelli, Bruna Virginia Neves, Vanessa Priscila Camphora, T. Korting

{"title":"Remote sensing image processing to identify spatial units of human occupation along Trans-Amazonian Highway (BR-230), Brazil","authors":"J. Pavanelli, Bruna Virginia Neves, Vanessa Priscila Camphora, T. Korting","doi":"10.1109/JURSE.2015.7120541","DOIUrl":"https://doi.org/10.1109/JURSE.2015.7120541","url":null,"abstract":"To investigate the urban phenomenon in the Amazon is necessary to observe the cities and communities. Identifying these population nuclei can provide information about where the population is concentrated and how it relates to the space and environment, therefore, how Amazonian urban is structured. This study identified spatial units of human occupation along the Trans-Amazonian Highway (BR-230) by applying remote sensing image processing techniques. The study site is located in Pará state, Brazil, in the municipalities of Altamira, Brasil Novo, Medicilândia and Uruará, inside a 15 km buffered from the Highway. Four Landsat-5 Thematic Mapper orthorrectfied scenes from 2011 were processed using software SPRING. The processing steps consisted in mosaicking the scenes, the application of dilation filter, segmentation and maximum likelihood classification. The validation was based on manual classification of middle resolution RapidEye images (5 metres) and ancillary data from Brazilian Institute of Geography and Statistics (IBGE). Twenty three spatial units of human occupation were mapped and the validation showed a Kappa coefficient of 0.6785. The application of dilation filter during the processing was able to identify spatial units of human occupation in the study site, although some misclassified pixels occurred mainly in small patches.","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":"134240746","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

SAR Shape from shading in suburban areas 郊区的遮阳SAR形状

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120503

G. D. Martino, A. D. Simone, A. Iodice, D. Riccio, G. Ruello

引用次数: 0

Impact of spatial and spectral resolutions on the classification of urban areas 空间和光谱分辨率对城市区域分类的影响

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI: 10.1109/JURSE.2015.7120509

R. Oltra-Carrió, X. Briottet, M. Bonhomme

引用次数: 4