A Method of Extracting Inter-Object Spatial Relationship in Remote Sensing Image Objects

Xiao Li Liu; Wen Tao Yang; Guo Bin Zhu; Jing Gang LI; Xue Li

doi:10.4028/www.scientific.net/AMM.519-520.537

Paper Titles

Implementation of Smart Home Terminal Based on OpenWrt
p.516

Digital Watermarking Based on Wavelet and Chaotic Mapping
p.520

Basedon Multi-Screen Integration Workflow Scheduling Program Authoring Management System Design and Implementation
p.524

Research of Television Boot-Strap Information Delivery Based on User Profiles
p.530

A Method of Extracting Inter-Object Spatial Relationship in Remote Sensing Image Objects
p.537

A New Image Segmentation Model
p.541

A User Preferences Modeling for Intellegent Dissemination of Remote Sensing Image
p.548

An Affine SIFT Matching Algorithm Based on Local Patch Shape Estimation
p.553

Analysis of Gaussian-Hermite Moment Invariants on Image Geometric Transformation
p.557

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 519-520A Method of Extracting Inter-Object Spatial...

A Method of Extracting Inter-Object Spatial Relationship in Remote Sensing Image Objects

Abstract:

Spatial relation extraction is very important for remote sensing application, but most existing topological models hardly describe the order property of transformations among the topological relations. This paper proposed a new method to extract inclusion relation of image based on topology map in the process of multi-level image classification.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 519-520)

Pages:

537-540

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.519-520.537

Citation:

Cite this paper

Online since:

February 2014

Authors:

Xiao Li Liu*, Wen Tao Yang, Guo Bin Zhu, Jing Gang LI, Xue Li

Keywords:

Complexity, Extraction, Remote Sensing Imagery, Spatial Relationship, Topological Relationship

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] G.M. Foody, P.M. Atkinson, Uncertainty in Remote Sensing and GIS, John Wiley & Sons, (2006).

Google Scholar

[2] G.B. Zhu. Remote Sensing Image Analysis Based on Hierarchical Multi-resolution Structures. Geomatics and Information Science of Wuhan University, Vol. 28(2003), pp.315-320.

Google Scholar

[3] Z.G. Jia, X.L. Liu, Modeling Spatial Relationships for Remote Sensing Image Processing Based on Fuzzy Set Theory. In: International Conference on Computer Science and Software Engineering, Vol. 4(2008), pp.1101-1104.

DOI: 10.1109/csse.2008.1446

Google Scholar

[4] J.M. Keller, X. Wang, Learning Spatial Relationships in Computer Vision. In: the Fifth IEEE International Conference on Fuzzy Systems, 1996, pp.118-124.

Google Scholar

[5] X. Liu, G. Zhu, Z. Jia, et al, Hierarchical Image Representation Based on Digital Topology for Bridging Remote Sensing and GIS. In: First International Congress on Image and Signal Processing, 2008, pp.736-740.

DOI: 10.1109/cisp.2008.271

Google Scholar

[6] S.H. Choe, J.H. Park, S.S. Pyo, Hierarchical Spatial Relation Based on a Contiguity Graph. International Journal of Intelligent Systems, Vol. 20(2005), pp.867-892.

DOI: 10.1002/int.20096

Google Scholar

[7] D. Papadias, M.J. Egenhofer, Hierarchical Spatial Reasoning about Direction Relations. GeoInformatica, Vol. 1(2007), pp.251-273.

Google Scholar

[8] W.G. Kropatsch, Y. Haxhimusa, Grouping and Segmentation in a Hierarchy of Graphs. In: Computational Imaging II, SPIE, 2004, pp.193-204.

DOI: 10.1117/12.543421

Google Scholar