Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
FLOWER SPECIES IDENTIFICATION AND COVERAGE ESTIMATION BASED ON HYPERSPECTRAL REMOTE SENSING DATA.ppt
1. Flower Species Identification And Coverage Estimation Based On Hyperspectral Remote Sensing Data Gai Yingying 1 , Fan Wenjie 1 , Xu Xiru 1 , Zhang Yuanzhen 2 1. Institute of RS and GIS, Peking University, Beijing, China 2. China Meteorological Administration Training Centre, Beijing, China Email Address: fanwj@pku.edu.cn (Fan Wenjie)
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13. Accuracy analysis of flowers identification Results Verification results showed that when the coverage of flowers was more than 10%, the accuracy of identification methods would be higher than 90%. Flower species Not-identify error /% Incorrect-identify error /% Total error/% Serratula centauroides Linn. 8.33 0 8.33 Clematis hexapetala Pall. 0 6.67 6.67 Artemisia frigida Willd. Sp. Pl. 6.67 0 6.67 Galium verum Linn . 5.88 3.03 8.91 Hemerocallis citrina Baroni 0 5.88 5.88 Lilium concolor var. pulchellum 0 0 0 Lilium pumilum 0 0 0
14. Accuracy analysis of pixel unmixing method Results Results also showed that the linear unmixing model was an effective method for estimating the coverage of flowers in grassland with the mean error of about 4%. Note: There are not enough data for validation of Lilium pumilum. Flower species Mean error Standard deviation Serratula centauroides Linn. 0.040 0.065 Clematis hexapetala Pall. 0.042 0.034 Artemisia frigida Willd. Sp. Pl. 0.062 0.032 Galium verum Linn . 0.029 0.073 Hemerocallis citrina Baroni 0.052 0.037 Lilium concolor var. pulchellum 0.021 0.028 Lilium pumilum 0.018 Null
15. Discussion Discussion The methods studied in the paper demonstrate promising application in monitoring some herb plants during florescence. More flowers will also be distinguished with high accuracy if multi-temporal data are available. In our study, application of field measured hyperspectral data in vegetation monitoring has been broaden, but species identification using remote sensing is to some extent limited by field observation. Admittedly, what we have observed in this study is far from complete and it requires further research.
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