Automated Binary based Tree Species Identification
نویسندگان
چکیده
منابع مشابه
Object-Based Classification of UltraCamD Imagery for Identification of Tree Species in the Mixed Planted Forest
This study is a contribution to assess the high resolution digital aerial imagery for semi-automatic analysis of tree species identification. To maximize the benefit of such data, the object-based classification was conducted in a mixed forest plantation. Two subsets of an UltraCam D image were geometrically corrected using aero-triangulation method. Some appropriate transformations were perfor...
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In this paper a method for the automated identification of tree species from images of leaves, bark and needles is presented. The automated identification of leaves uses local features to avoid segmentation. For the automated identification of images of the bark this method is compared to a combination of GLCM and wavelet features. For classification a Support Vector machine is used. The needle...
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this study is a contribution to assess the high resolution digital aerial imagery for semi-automatic analysis of tree species identification. to maximize the benefit of such data, the object-based classification was conducted in a mixed forest plantation. two subsets of an ultracam d image were geometrically corrected using aero-triangulation method. some appropriate transformations were perfor...
متن کاملAutomated identification of tree species from images of the bark, leaves or needles
In this thesis a method for the automated identification of tree species from images of leaves, needles and bark is presented. In contrast to the current state of the art for the identification from leaf images, no segmentation of the leaves is necessary. Furthermore the proposed method is able to handle damaged and overlapping leaves. This is done by extracting keypoints in the image which all...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2010
ISSN: 0975-8887
DOI: 10.5120/1585-2125