A novel method for assessing the segmentation quality of high-spatial resolution remote-sensing images
作者:Cheng, JH (Cheng, Jiehai)[ 1,2,3,4,5 ] ; Bo, YC (Bo, Yanchen)[ 1,2,3,5 ] ; Zhu, YX (Zhu, Yuxin)[ 1,2,3,5,6 ] ; Ji, XL (Ji, Xiaole)[ 1,2,3,5 ]
INTERNATIONAL JOURNAL OF REMOTE SENSING
卷: 35  期: 10  页: 3816-3839
DOI: 10.1080/01431161.2014.919678
出版年: 2014

摘要
Image segmentation quality significantly affects subsequent image classification accuracy. It is necessary to develop effective methods for assessing image segmentation quality. In this paper, we present a novel method for assessing the segmentation quality of high-spatial resolution remote-sensing images by measuring both area and position discrepancies between the delineated image region (DIR) and the actual image region (AIR) of a scene object. In comparison with the most frequently used area coincidence-based methods, our method can assess the segmentation quality more objectively in that it takes into consideration all image objects intersecting with the AIR of a scene object. Moreover, the proposed method is more convenient to use than the existing boundary coincidence-based methods in that the calculation of the distance between the boundary of the image object and that of the corresponding AIR of the scene object is not required. Another benefit of this method over the two types of method above is that the assessment procedure of the segmentation quality can be conducted with less human intervention. The obtained optimal segmentation result can ensure maximal delineation of the extent of scene objects and can be beneficial to subsequent classification operations. The experimental results have shown the effectiveness of this new method for both segmentation quality assessment and optimal segmentation parameter selection.

通讯作者地址: Bo, YC (通讯作者)
Beijing Normal Univ, Res Ctr Remote Sensing, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China.
地址:
[ 1 ] Beijing Normal Univ, Res Ctr Remote Sensing, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[ 2 ] Beijing Normal Univ, GIS, Beijing 100875, Peoples R China
[ 3 ] Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China
[ 4 ] Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454003, Peoples R China
[ 5 ] Beijing Normal Univ, Beijing Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
[ 6 ] Huaiyin Normal Univ, Sch Urban & Environm Sci, Huaiyin 223300, Peoples R China