2019 Joint Urban Remote Sensing Event (JURSE)最新文献_第2页

Size Distributions for Morphological Slums in Asia and South America 亚洲和南美洲形态贫民窟的规模分布

2019 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2019-05-22 DOI: 10.1109/JURSE.2019.8809017

John Friesen, M. Leštáková, Jens Kaltenmorgen, Suwaythan Nahaganeshan, P. Pelz, H. Taubenböck, M. Wurm

引用次数: 0

Facade Segmentation from Oblique UAV Imagery 斜向无人机图像的立面分割

2019 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2019-05-22 DOI: 10.1109/JURSE.2019.8809024

X. Zhuo, Milena Mönks, T. Esch, P. Reinartz

引用次数: 6

Spatial relations of slums: size of slum clusters 贫民窟的空间关系:贫民窟集群的规模

2019 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2019-05-22 DOI: 10.1109/JURSE.2019.8809051

Jakob Hartig, John Friesen, P. Pelz

引用次数: 4

Sensitivity of slum size distributions as a function of spatial parameters for slum classification 贫民窟大小分布随空间参数变化的敏感性

2019 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2019-05-22 DOI: 10.1109/JURSE.2019.8808944

John Friesen, Christoph Knoche, Jakob Hartig, P. Pelz, H. Taubenböck, M. Wurm

引用次数: 3

Mapping Poverty and Slums Using Multiple Methodologies in Accra, Ghana 在加纳阿克拉使用多种方法绘制贫困和贫民窟地图

2019 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2019-05-22 DOI: 10.1109/JURSE.2019.8809052

R. Engstrom, Dan Pavelesku, Tomomi Tanaka, A. Wambile

{"title":"Mapping Poverty and Slums Using Multiple Methodologies in Accra, Ghana","authors":"R. Engstrom, Dan Pavelesku, Tomomi Tanaka, A. Wambile","doi":"10.1109/JURSE.2019.8809052","DOIUrl":"https://doi.org/10.1109/JURSE.2019.8809052","url":null,"abstract":"Providing housing to slum dwellers, protecting them from natural disasters and diseases, and connecting them to jobs and services through improved infrastructure are urgent policy issues in many Sub-Saharan African cities. Identifying the location and living conditions of slums is a critical step toward designing effective urban policies. By combining household survey data and census data with high spatial resolution satellite imagery and other geospatial data using multiple methodologies, including machine learning, we attempt to define slums quantitatively within the city of Accra. Within these defined slum areas, the patterns of monetary poverty are assessed. Poverty rates are estimated at the neighborhood level and indicate that living in slums is strongly correlated with higher monetary poverty. Poverty is more prevalent in communities in areas of lower elevation, which in Accra are generally flood-prone areas. However, the results also suggest that not all people living in slums are living in monetary poverty. These results have important policy implications and are crucial to how economic opportunities are generated in slums so that effective urban policies can be designed.","PeriodicalId":299183,"journal":{"name":"2019 Joint Urban Remote Sensing Event (JURSE)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116864668","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: 15

How dynamic are slums? EO-based assessment of Kibera’s morphologic transformation 贫民窟有多活跃?基贝拉形态学转变的eo评价

2019 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2019-05-22 DOI: 10.1109/JURSE.2019.8808978

N. J. Kraff, H. Taubenböck, M. Wurm

引用次数: 10

Improving land-cover classification accuracy with a patch-based convolutional neural network: data augmentation and purposive sampling 基于patch的卷积神经网络提高土地覆盖分类精度:数据增强和目的采样

2019 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2019-05-22 DOI: 10.1109/JURSE.2019.8809031

Hunsoo Song, Yongil Kim

{"title":"Improving land-cover classification accuracy with a patch-based convolutional neural network: data augmentation and purposive sampling","authors":"Hunsoo Song, Yongil Kim","doi":"10.1109/JURSE.2019.8809031","DOIUrl":"https://doi.org/10.1109/JURSE.2019.8809031","url":null,"abstract":"The unit of classification in land-cover mapping is generally divided into two main categories: pixel and object. When it comes to medium-resolution images, a pixel has generally been used as a unit of classification because the object-based approach is often not as effective due to its coarse resolution. Recently, however, the patch-based approach for land-cover classification has shown higher accuracy levels than the pixel-based approach by exploiting the informative features from neighboring pixels. In this study, the light convolutional neural network (LCNN) was used as a patch-based classification algorithm, and two methods to further improve the classification accuracy for patch-based algorithms were addressed. First, data augmentation by flipping and rotation was applied to LCNN to check if its classification accuracy can increase. Second, the purposive sampling, which considers the heterogeneity of a map, was applied to LCNN. This study shows that the classification accuracy of LCNN can be further improved by data augmentation and purposive sampling and thus confirms that the patch-based approach has a distinct advantage over the pixel-based approach.","PeriodicalId":299183,"journal":{"name":"2019 Joint Urban Remote Sensing Event (JURSE)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116260160","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

Sensitivity of urban material classification to spatial and spectral configurations from visible to short-wave infrared 从可见光到短波红外，城市物质分类对空间和光谱结构的敏感性

2019 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2019-05-22 DOI: 10.1109/JURSE.2019.8809029

A. L. Bris, N. Chehata

引用次数: 1

Europe’s socio-economic disparities reflected in settlement patterns derived from satellite data 欧洲的社会经济差异反映在卫星数据得出的定居模式上

2019 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2019-05-22 DOI: 10.1109/JURSE.2019.8809033

H. Taubenböck, F. Dahle, C. Geiss, M. Wurm

引用次数: 5

A Satellite-derived Heating- and Cooling-Degrees Geospatial Dataset: Results for Antwerp 卫星衍生的加热和冷却度地理空间数据集:安特卫普的结果

2019 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2019-05-22 DOI: 10.1109/JURSE.2019.8808997

P. Sismanidis, I. Keramitsoglou, A. Tsontzou, B. Bechtel, S. Barberis, C. Kiranoudis

引用次数: 0