?Parcel feature data derived from Google Street View images for urban land use classification in Brooklyn, New York Cityfor urban land use classification in Brooklyn, New York Cityretain--

Weixing Zhang; Weidong Li; Chuanrong Zhang; Dean M. Hanink; Xiaojiang Li; Wenjie Wang

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?Parcel feature data derived from Google Street View images for urban land use classification in Brooklyn, New York Cityfor urban land use classification in Brooklyn, New York Cityretain--

机译：从Google街景图像导出的地物特征数据用于纽约布鲁克林的城市土地用途分类，用于纽约布鲁克林的城市土地用途分类->

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Google Street View (GSV) was used for urban land use classification, together with airborne light detection and ranging (LiDAR) data and high resolution orthoimagery, by a parcel-based method. In this data article, we present the input raw GSV images, intermediate products of GSV images, and final urban land use classification data that are related to our research article "Parcel-based urban land use classification in megacity using airborne LiDAR, high resolution orthoimagery, and Google Street View" (Zhang et al., 2017) . More detail about other used data and our findings can be found in Zhang et al. (2017) .

机译：Google街景（GSV）通过基于包裹的方法用于城市土地使用分类，以及机载光检测和测距（LiDAR）数据以及高分辨率正射影像。在此数据文章中，我们介绍了与我们的研究文章“使用机载LiDAR，高分辨率正射影像的大城市中基于包裹的城市土地利用分类”相关的原始GSV图像输入，GSV图像的中间产品以及最终的城市土地利用分类数据。，和Google街景””（Zhang等人，2017）。有关其他使用数据和我们的发现的更多详细信息，请参见Zhang等。（2017）。

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《Data in Brief》 |2017年第1期|共5页
作者
Weixing Zhang; Weidong Li; Chuanrong Zhang; Dean M. Hanink; Xiaojiang Li; Wenjie Wang;
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中图分类计算技术、计算机技术;
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1. Parcel-based urban land use classification in megacity using airborne LiDAR, high resolution orthoimagery, and Google Street View [J] . Zhang Weixing, Li Weidong, Zhang Chuanrong, Computers，environment and urban systems . 2017,第Jula期

机译：使用机载LiDAR，高分辨率正射影像和Google Street View在大城市中进行基于宗地的城市土地使用分类
2. Incorporating road and parcel data for object-based classification of detailed urban land covers from NAIP images [J] . Xiaomin Qiu, Shuo-Sheng Wu, Xin Miao GIScience & remote sensing . 2014,第5期

机译：合并道路和地块数据，以基于NAIP图像对详细的城市土地覆盖物进行基于对象的分类
3. Feature-Level Fusion of Landsat 8 Data and SAR Texture Images for Urban Land Cover Classification [J] . Mahmoudi Fatemeh Tabib, Arabsaeedi Alireza, Alavipanah Seyed Kazem Journal of the Indian Society of Remote Sensing . 2019,第3期

机译：Landsat 8数据和SAR纹理图像的特征级融合，用于城市土地覆盖分类
4. A Case Study of Urban Extraction of Two Developing Municipalites of Northern Mindanao from Landsat8: An Approach Comparing Extracted Urban Features from Panchromatic Band against LiDAR Derived Classification [C] . Ricardo G. Villar, Mark Daryl C. Janiola, Jigg L. Pelayo International Conference on Geographical Information Systems Theory, Applications and Management . 2017

机译：Landsat8中北方棉兰老县两个发展城市的城市提取案例：一种比较Panchromatic Band提取的城市特征对LIDAR衍生分类的方法
5. Place, power, and aesthetics in the urban landscape of children's imagination: An evaluation of a multimedia based neighborhood design project at Public School 15 in Brooklyn, New York [D] . Koeppl, Martin 1987

机译：儿童想象力的城市景观中的位置，力量和美学：对纽约布鲁克林公立学校15中基于多媒体的邻里设计项目的评估
6. Parcel feature data derived from Google Street View images for urban land use classification in Brooklyn New York Cityfor urban land use classification in Brooklyn New York Cityretain-- [O] . Weixing Zhang, Weidong Li, Chuanrong Zhang, 2017

机译：从Google街景图像导出的地块特征数据用于纽约布鲁克林的城市土地用途分类用于纽约布鲁克林的城市土地用途分类-
7. Parcel feature data derived from Google Street View images for urban land use classification in Brooklyn, New York Cityfor urban land use classification in Brooklyn, New York Cityretain--> [O] . Weixing Zhang, Weidong Li, Chuanrong Zhang, 2017

机译：来自纽约布鲁克林市城市土地利用分类的谷歌街景图像的地块特征数据，用于纽约布鲁克林的城市土地利用分类 - >
8. Cultural Landscape Report Floyd Bennett Field, Gateway National Recreation Area, Brooklyn, New York [R] . Cody, S. K., Auwaerter, J., Curry, G. W. 2010

机译：文化景观报告Floyd Bennett Field，Gateway National Recreation area，Brooklyn，New York

?Parcel feature data derived from Google Street View images for urban land use classification in Brooklyn, New York Cityfor urban land use classification in Brooklyn, New York Cityretain--

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