首页> 外文会议>Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International >Spatial and spectral segmentation of satellite remote sensing imagery using processing graphs by mathematical morphology
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Spatial and spectral segmentation of satellite remote sensing imagery using processing graphs by mathematical morphology

机译:使用数学形态学的处理图对卫星遥感影像进行空间和光谱分割

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The paper presents an autoadaptive method of satellite images segmentation based on a description of the image by graphs. The method presented proposes a new approach using the morphological analysis of the dual graph of the segmentation. A quantification builds an image oversegmented in a connected components set forming a new digital grid. Morphological operations are applied to the graph corresponding to form significant segments by region growing. In the process of growth, the attributes of the regions are kept to enslave the process, but also to contribute to the interpretation of the relations of neighborhood and to understand the physics of detection used.
机译:本文提出了一种基于图像描述的自适应卫星图像分割方法。提出的方法提出了一种使用对偶图的形态分析的新方法。量化将建立一个图像,该图像在连接的组件集中过度分割,从而形成一个新的数字网格。将形态学运算应用于图,以通过区域增长形成重要的分段。在增长过程中,保留了区域的属性以奴役该过程,但也有助于解释邻域关系并了解所用检测的物理原理。

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