DOI: 10.1016/j.jag.2013.01.004
Scopus记录号: 2-s2.0-84878355763
论文题名: Hyperspectral discrimination of tree species with different classifications using single- and multiple-endmember
作者: Ghiyamat A ; , Shafri H ; Z ; M ; , Mahdiraji G ; A ; , Shariff A ; R ; M ; , Mansor S
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2013
卷: 23, 期: 1 起始页码: 177
结束页码: 191
语种: 英语
英文关键词: Age detection
; Airborne hyperspectral remote sensing
; Derivative spectra
; Multiple-endmember
; Spectral measure techniques
; Tree species discrimination
; Within-species variation
Scopus关键词: accuracy assessment
; age determination
; airborne sensing
; remote sensing
; spectral analysis
; tree
英文摘要: Discrimination of tree species with different ages is performed in three classifications using hyperspectral data. The first classification is between Broadleaves and pines;the second classification is between Broadleaves, Corsican Pines, and Scots Pines, and the third classification is between six tree species including different ages of Corsican and Scots Pines. These three classifications are performed by having single- and multiple-endmember and considering five different spectral measure techniques (SMTs) in combination with reflectance spectra (ReflS), first and second derivative spectra. The result showsthat using single-endmember, derivative spectra are not useful for a more challenging classification. This is further emphasized in multiple-endmember classification, where all SMTs perform better in ReflS rather than derivative in all classifications. Furthermore, using derivative spectra, discrimination accuracy become more dependent on the type of SMTs, especially in single-endmember. By employing multiple-endmember, the within-species variation is significantly reduced, thereby, the remaining challenge in discriminating treespecies with different ages is only due to the between-species similarity. Overall, discrimination accuracies around 92.4, 76.8, and 71.5% are obtained using original reflectanceand multiple-endmember for the first, second, and third classification, which is around 14.3, 17, and 8.3% higher than what were obtained in single-endmember classifications, respectively. Also, amongst the five SMTs, Euclidean distance (in both single- and multiple-endmember) and Jeffreys-Matusita distance (in single-endmember and derivative spectra) provided the highest discrimination accuracies in different classifications. Furthermore, when discrimination become more challenging from the first to second and third classification, the performance difference between different SMTs is increased from 1.4 to 3.8 and 7.3%, respectively. The study shows high potential of multiple-endmember to be employed inremote sensing applications in the future for improving tree species discrimination accuracy. © 2012 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79859
Appears in Collections: 气候变化事实与影响
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作者单位: Institute of Gerontology, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia; Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia; Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia; Department of Biological and Agricultural Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
Recommended Citation:
Ghiyamat A,, Shafri H,Z,et al. Hyperspectral discrimination of tree species with different classifications using single- and multiple-endmember[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,23(1)