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Detection of individual tree crowns in high spatial resolution using 2D walking ant histogram

机译:使用二维步行蚂蚁直方图以高空间分辨率检测单个树冠

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In this paper the forest characterizing is done to find the forest structure using novel shape descriptor. Forest structure types have found based on the high intensity of the sub segments. By adopting a multiscale approach over the edge field major object boundaries are extracted from a scale map. The process of a walking ant with a limited line of sight over the boundary of a particular object, or the texture we traverse through each sub segment and describe a certain line of sight, whether it is a continuous branch or a corner, using individual 2- D histograms. The purpose of this study is detecting individual tree crowns in the forest images. First in order to detect the individual tree crowns, the outline of the tree crown is detected using watershed Algorithm. Next a supervised maximum likelihood classification is performed using the spectral and textual features of each individual tree crown. Thus the present approach could have an operational application in the inventory procedure and forest management plans.
机译:在本文中,森林表征是为了找到使用新颖形状描述符的森林结构。基于子段的高强度找到了森林结构类型。通过采用在边缘领域的多尺度方法,从刻度图中提取主要对象边界。在特定对象的边界上有一条有限的视线的行走蚂蚁的过程,或者我们穿过每个子段的纹理并描述一条透明的视线,无论是连续分支还是角,都使用单独的2 - D直方图。本研究的目的在于森林图像中的单个树冠。首先,为了检测单个树冠,使用流域算法检测树冠的轮廓。接下来,使用每个单独的树冠的光谱和文本特征来执行监督的最大似然分类。因此,本方法可以在库存程序和森林管理计划中具有运营应用。

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