A new segmentation method for very high resolution imagery using spectral and morphological information
A new segmentation method for very high resolution imagery using spectral and morphological information
复制标题
使用光谱和形态信息的超高分辨率图像的新分割方法
DOI：
10.1016/j.isprsjprs.2014.11.009
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发表时间：
2015-03
影响因子：
12.7
通讯作者：
Wang Xue
中科院分区：
文献类型：
--
作者：
Liu Jing;Li Peijun;Wang Xue
图像分割是基于目标的超高分辨率图像分析的关键和前提。大多数现有的图像分割方法单独使用图像的光谱或空间信息。提出了一种结合光谱和形态学信息的VHR多光谱图像分割方法。该方法可概括如下。首先，从原始多光谱图像中计算形态导数轮廓，并与光谱带相结合，以量化像素的光谱形态特征，这被认为是相邻像素的均匀性的标准。图像分割，然后使用种子区域生长过程，这是基于种子点自动生成的梯度图像和动态添加和种子像素和它的相邻像素之间的相似性在光谱形态特征。通过区域合并过程进一步细化所获得的分割结果以生成最终分割结果。该方法进行了评估，使用三个VHR图像的城市和郊区，并与现有的两种分割方法相比，在视觉检查，定量评价和间接评价。实验结果表明，光谱和形态信息的联合使用优于单独使用形态信息。此外，所提出的图像分割方法的性能优于现有的方法。所提出的图像分割方法适用于城市和郊区的VHR图像分割。
Image segmentation is a key and prerequisite step for object-based analysis of very high resolution (VHR) imagery. Most existing image segmentation methods use either spectral or spatial information of an image alone. A novel image segmentation method for VHR multispectral images using combined spectral and morphological information is proposed in this paper. The method can be summarized as follows. First, a morphological derivative profile is calculated from an original multispectral image and combined with the spectral bands to quantify spectral-morphological characteristics of a pixel, which are considered as a criterion of homogeneity of neighboring pixels. Image segmentation is then conducted using a seeded region-growing procedure, which is based on the seed points automatically generated from the gradient image and dynamically added and the similarity between a seed pixel and its neighboring pixels in terms of spectral-morphological characteristics. The obtained segmentation result is further refined by a region merging procedure to generate a final segmentation result. The proposed method is evaluated using three VHR images of urban and suburban areas and compared with two existing segmentation methods, in terms of visual inspection, quantitative evaluation and indirect evaluation. Experimental results demonstrate that the joint use of spectral and morphological information outperformed the use of morphological information alone. Furthermore, the proposed image segmentation method performed better than existing methods. The proposed image segmentation method is well applicable to the segmentation of VHR imagery over urban and suburban areas.
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影响因子：
3.4
作者：
WOODCOCK, C;HARWARD, VJ
通讯作者：
HARWARD, VJ
DOI：
10.1016/j.isprsjprs.2008.01.005
发表时间：
2008-07-01
影响因子：
12.7
作者：
Durieux, Laurent;Lagabrielle, Erwann;Nelson, Andrew
通讯作者：
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DOI：
10.1016/j.isprsjprs.2013.11.006
发表时间：
2014-01-01
影响因子：
12.7
作者：
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通讯作者：
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DOI：
10.1109/jstars.2011.2168195
发表时间：
2012-02-01
影响因子：
5.5
作者：
Huang, Xin;Zhang, Liangpei
通讯作者：
Zhang, Liangpei
DOI：
10.1155/asp.2005.2196
发表时间：
2005-08-11
期刊：
EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING
影响因子：
--
作者：
Jin, XY;Davis, CH
通讯作者：
Davis, CH