A framework of region-based spatial relations for non-overlapping   features and its application in object based image analysis

doi:10.1016/j.isprsjprs.2008.01.007

CORC > 北京大学 > 地球与空间科学学院

	A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis
	Liu, Yu ; Guo, Qinghua ; Kelly, Maggi
刊名	isprs journal of photogrammetry and remote sensing
	2008
关键词	region-based spatial relations single-valued space object based image analysis TOPOLOGICAL RELATIONS INFORMATION-SYSTEMS DIRECTION RELATIONS LAND-USE SEGMENTATION MODEL
DOI	10.1016/j.isprsjprs.2008.01.007
英文摘要	Object based image analysis (OBIA) is an approach increasingly used in classifying high spatial resolution remote sensing images. Object based image classifiers first segment an image into objects (or image segments), and then classify these objects based on their attributes and spatial relations. Numerous algorithms exist for the first step of the OBIA process, i.e. image segmentation. However. less research has been conducted on the object classification part of OBIA, in particular the spatial relations between objects that are commonly used to construct rules for classifying image objects and refining classification results. In this paper, we establish a context where objects are areal (not points or lines) and non-overlapping (we call this "single-valued" space), and propose a framework of binary spatial relations between segmented objects to aid in object classification. In this framework, scale-dependent "line-like objects" and "point-like objects" are identified from areal objects based on their shapes. Generally, disjoint and meet are the only two possible topological relations between two non-overlapping areal objects. However, a number of quasitopological relations can be defined when the shapes of the objects involved are considered. Some of these relations are fuzzy and thus quantitatively defined. In addition, we define the concepts of line-like objects (e.g. roads) and point-like objects (e.g. wells), and develop the relations between two line-like objects or two point-like objects. For completeness, cardinal direction relations and distance relations are also introduced in the proposed context. Finally, we implement the framework to extract roads and moving vehicles from an aerial photo. The promising results suggest that our methods can be a valuable tool in defining rules for object based image analysis. Published by Elsevier B.V. on behalf of International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).; Geography, Physical; Geosciences, Multidisciplinary; Remote Sensing; Imaging Science & Photographic Technology; SCI(E); EI; 16; ARTICLE; 4; 461-475; 63
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/155980]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Liu, Yu,Guo, Qinghua,Kelly, Maggi. A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis[J]. isprs journal of photogrammetry and remote sensing,2008.
APA	Liu, Yu,Guo, Qinghua,&Kelly, Maggi.(2008).A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis.isprs journal of photogrammetry and remote sensing.
MLA	Liu, Yu,et al."A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis".isprs journal of photogrammetry and remote sensing (2008).