DOI: 10.1016/j.jag.2014.04.018
Scopus记录号: 2-s2.0-84901825064
论文题名: Object-based land-cover classification for metropolitan Phoenix, Arizona, using aerial photography
作者: Li X ; , Myint S ; W ; , Zhang Y ; , Galletti C ; , Zhang X ; , Turner II B ; L
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 33, 期: 1 起始页码: 321
结束页码: 330
语种: 英语
英文关键词: Aerial photography
; Classification system
; Land cover
; Object-based image analysis
; Phoenix
; Urban
Scopus关键词: aerial photography
; GIS
; image analysis
; land cover
; metropolitan area
; spatial resolution
; sustainability
; Arizona
; Phoenix
; United States
英文摘要: Detailed land-cover mapping is essential for a range of research issues addressed by the sustainability and land system sciences and planning. This study uses an object-based approach to create a 1 m land-cover classification map of the expansive Phoenix metropolitan area through the use of high spatial resolution aerial photography from National Agricultural Imagery Program. It employs an expert knowledge decision rule set and incorporates the cadastral GIS vector layer as auxiliary data. The classification rule was established on a hierarchical image object network, and the properties of parcels in the vector layer were used to establish land cover types. Image segmentations were initially utilized to separate the aerial photos into parcel sized objects, and were further used for detailed land type identification within the parcels. Characteristics of image objects from contextual and geometrical aspects were used in the decision rule set to reduce the spectral limitation of the four-band aerial photography. Classification results include 12 land-cover classes and subclasses that may be assessed from the sub-parcel to the landscape scales, facilitating examination of scale dynamics. The proposed object-based classification method provides robust results, uses minimal and readily available ancillary data, and reduces computational time. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79695
Appears in Collections: 气候变化事实与影响
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作者单位: Global Institute of Sustainability, Arizona State University, Tempe, AZ 85287, United States; School of Geographical Sciences and Urban Planning, Arizona State University, Coor Hall, 5th Floor, 975 South Myrtle Avenue, Tempe, AZ 85287, United States; Institute of Geographical Science and Engineering, Hohai University, Xikang Rd. 1, Nanjing 210098, Jiangsu, China
Recommended Citation:
Li X,, Myint S,W,et al. Object-based land-cover classification for metropolitan Phoenix, Arizona, using aerial photography[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,33(1)