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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40256

Title: Evaluating the efficiency of multisensory satellite data fusion based on the accuracy level of land cover/use classification
Authors: Dong-Jiing Doong
Ashraf Sami Elkotb
Shih-Jen Huang
Chen-Chih Lin
Contributors: 國立臺灣海洋大學:海洋環境資訊學系
Keywords: land cover/use
fusion techniques
Date: 2015-10
Issue Date: 2017-01-16T08:19:29Z
Publisher: Journal of Marine Science and Technology
Abstract: Abstract: The term imagery fusion has been used to describe a variety of combining operations performed to increase the ground resolution of multispectral data. The objective of this study was to characterize and evaluate the impact of different pixel-level fusion methods on the accuracy level of land cover/use classification. Panchromatic FORMOSAT-2 data and multispectral SPOT-6 data were considered, and Brovey, Ehlers, and principal component analysis (PCA) algorithms were used as pixel-level fusion algorithms. The improvement in the accuracy of the fused images relative to the original images was determined. The land cover/use categories were classified into five groups by using a maximum likelihood algorithm. To verify and assess the accuracy of classification, training sites were selected for all land cover/use themes. The classification accuracy was calculated for all images by using error matrices. The greatest improvement in land cover/use classification was obtained by using the Brovey algorithm; the overall accuracy was 93.68% and the kappa coefficient was 0.9115. The next greatest improvement was obtained using the Ehlers algorithm, and the overall accuracy and kappa coefficient were 89.54% and 0.8620, respectively. Finally, the least accurate classification was obtained by using the PCA algorithm; the overall accuracy was 88.36% and the kappa coefficient was 0.8247. Comparing the fused images with the original images, the overall accuracy of 86.36% and kappa coefficient value of0.8036, which were obtained for the original images, were used as benchmarks.
Relation: 23(5)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40256
Appears in Collections:[海洋環境資訊系] 期刊論文

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