A new segmentation method for very high resolution imagery using   spectral and morphological information

doi:10.1016/j.isprsjprs.2014.11.009

CORC > 北京大学 > 地球与空间科学学院

	A new segmentation method for very high resolution imagery using spectral and morphological information
	Liu, Jing ; Li, Peijun ; Wang, Xue
刊名	isprs journal of photogrammetry and remote sensing
	2015
关键词	Very high resolution image Image segmentation Morphological profile Seeded region growing Region merging GEOBIA HAUSDORFF DISTANCE PIXEL CLASSIFICATION HYPERSPECTRAL DATA SATELLITE IMAGERY SHAPE-FEATURES MULTIRESOLUTION PROFILES GIS EXTRACTION OBJECTS
DOI	10.1016/j.isprsjprs.2014.11.009
英文摘要	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. (C) 2014 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000351250300014&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Geography, Physical; Geosciences, Multidisciplinary; Remote Sensing; Imaging Science & Photographic Technology; SCI(E); EI; 3; ARTICLE; pjli@pku.edu.cn; 145-162; 101
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/155320]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Liu, Jing,Li, Peijun,Wang, Xue. A new segmentation method for very high resolution imagery using spectral and morphological information[J]. isprs journal of photogrammetry and remote sensing,2015.
APA	Liu, Jing,Li, Peijun,&Wang, Xue.(2015).A new segmentation method for very high resolution imagery using spectral and morphological information.isprs journal of photogrammetry and remote sensing.
MLA	Liu, Jing,et al."A new segmentation method for very high resolution imagery using spectral and morphological information".isprs journal of photogrammetry and remote sensing (2015).