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Advances in Earth Science  2009, Vol. 24 Issue (7): 776-783    DOI: 10.11867/j.issn.1001-8166.2009.07.0776
Coverage Estimation on Stellera chamaejasme L. Based on Digital Photos
Qian Jinbo1,Ma Mingguo2
1.College of Resources & Environments, Lanzhou University, Lanzhou  730000,China;2.Cold and Arid Regions Environmental and Engineering Research Institute,CAS, Lanzhou  730000,China
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The coverage of stellera was estimated based on the digital images. The excess green operator was chosen to classify green and non-green vegetation. The stellera flowers were automatically extracted from non-green vegetation using brightness feature and area threshold. The holes in the flowers were filled using run length marking algorithm. Ten photos were randomly selected for evaluating the classification precision and the Kappa coefficient was 0.80. The excess green was not sensitive between stellera leaves and grass. The precision can improve when the hue feature is used to discriminate the stellera leaves under the HLS color space. The regression analysis was carried out and the linear equation could express the relationship best between the stellera flower areas and leaves areas. The regression simulation method can get higher estimation precision of the stellera leaves.

Key words:  Stellera chamaejasme L.      Excess green      Hole filling      Kappa coefficient     
Received:  26 March 2009      Published:  10 July 2009
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Qian Jinbo,Ma Mingguo. Coverage Estimation on Stellera chamaejasme L. Based on Digital Photos. Advances in Earth Science, 2009, 24(7): 776-783.

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