DOI: 10.1016/j.jag.2014.04.006
Scopus记录号: 2-s2.0-84904504634
论文题名: Application and evaluation of topographic correction methods to improve land cover mapping using object-based classification
作者: Moreira E ; P ; , Valeriano M ; M
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2014
卷: 32, 期: 1 起始页码: 208
结束页码: 217
语种: 英语
英文关键词: Classification accuracy
; Land cover classification
; Landsat
; Radiometric correctiona
; SRTM
; Topographic effect
Scopus关键词: accuracy assessment
; correction
; land classification
; land cover
; Landsat thematic mapper
; mapping method
; pixel
; radiometric method
; satellite imagery
; Shuttle Radar Topography Mission
; topographic effect
英文摘要: This study applies and evaluates topographic correction methods to reduce radiometric variation dueto topography characteristics in rugged terrain. The aim of this study was to improve the capability of satellite images to generate more reliable land cover mapping using object-based classification. Several semi-empirical correction methods, which require the estimation of empirically defined parameters,were selected for this study. Usually, these parameters are estimated relying on a previous land covermap. However, in this work the correction methods were applied considering the unavailability of a pre-vious land cover map and the ease for implementation, so the main land cover type was used to estimate correction parameters to be applied to correct all land cover type. Landsat 5 TM image and topographic data derived from SRTM (Shuttle Radar Topography Mission) over an area located in an agricultural region of southeastern Brazil were used. Land cover classification was carried out using an object-based approach, which includes image segmentation and decision tree classification. The evaluation of topo-graphic correction methods was based on: spectral characteristics expressed by standard deviation andmean values of spectral data within land cover classes; relationship between spectral data and solar illu-mination angle on the slope (cos i); object (segment) mean size; decision tree structure; visual analysis;and classification accuracy. Results show that the standard deviation of spectral data and the correlation between spectral values and cos i decreased after data correction, but not for all methods for some of the tested TM bands. The methods herein referred as Cosine, S1, Ad2S and SCS methods showed to increase the standard deviation and the correlation compared to the uncorrected data, mainly for bands 1, 2 and 3. Object mean size, in general, decreased after correction, except for C method. The effect on the object size showed to be related to a calculated standard deviation of adjacent pixels values. The decision treestructure given by the number of leaves also decreased after correction. The C, SCS + C and Minnaert methods showed the highest performance, followed by S2 and E-Stat, with a general accuracy increasearound 10%. Land cover classification from uncorrected and corrected data differed in a large portion of the total studied area, with values around 29% for all correction methods. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79789
Appears in Collections: 气候变化事实与影响
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作者单位: Instituto Nacional de Pesquisas Espaciais, Coordenadoria de Observação da terra, Divisão de Sensoriamento Remoto (INPE/OBT/DSR), Av. dos Astronautas,1758, Caixa Postal 515, Jardim da Granja, Sao Jose dos Campos, SP 12.227-010, Brazil
Recommended Citation:
Moreira E,P,, Valeriano M,et al. Application and evaluation of topographic correction methods to improve land cover mapping using object-based classification[J]. International Journal of Applied Earth Observation and Geoinformation,2014-01-01,32(1)