DOI: 10.1016/j.jag.2014.09.010
Scopus记录号: 2-s2.0-84924420684
论文题名: Landsat 8 vs. Landsat 5: A comparison based on urban and peri-urbanland cover mapping
作者: Poursanidis D ; , Chrysoulakis N ; , Mitraka Z
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 35, 期: PB 起始页码: 259
结束页码: 269
语种: 英语
英文关键词: Classification
; GEOBIA
; Landsat 8
; Peri-urban
; SVM
Scopus关键词: image analysis
; land classification
; land cover
; Landsat thematic mapper
; maximum likelihood analysis
; nearest neighbor analysis
; periurban area
; pixel
; urban area
英文摘要: An image dataset from the Landsat OLI spaceborne sensor is compared with the Landsat TM in order toevaluate the excellence of the new imagery in urban landcover classification. Widely known pixel-basedand object-based image analysis methods have been implemented in this work like Maximum Likeli-hood, Support Vector Machine, k-Nearest Neighbor, Feature Analyst and Sub-pixel. Classification resultsfrom Landsat OLI provide more accurate results comparing to the Landsat TM. Object-based classifica-tions produced a more uniform result, but suffer from the absorption of small rare classes into largehomogenous areas, as a consequence of the segmentation, merging and the spatial parameters in thespatial resolution (30 m) of Landsat images. Based exclusively on the overall accuracy reports, the SVMpixel-based classification from Landsat 8 proved to be the most accurate for the purpose of mappingurban land cover, using medium spatial resolution imagery. © 2014 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79466
Appears in Collections: 气候变化事实与影响
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作者单位: Foundation for Research and Technology - Hellas (FORTH), Institute of Applied and Computational Mathematics, N. Plastira 100, Vassilika Vouton, Heraklion, Greece; Earth Observation Lab, University of Tor Vergata, Rome, Italy
Recommended Citation:
Poursanidis D,, Chrysoulakis N,, Mitraka Z. Landsat 8 vs. Landsat 5: A comparison based on urban and peri-urbanland cover mapping[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,35(PB)