Extended Hausdorff distance for spatial objects in GIS

Authors:
D. Min;L. Zhilin;C. Xiaoyong
Affiliations:
Department of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hong Kong;Department of Land Surveying and Geo-informatics, The Hong Kong Polytechnic University, Hong Kong;Space Technology Applications and Research Program, Asian Institute of Technology, Bangkok 12120, Thailand
Venue:
International Journal of Geographical Information Science
Year:
2007

Citing 10
Cited 0

Distance transformations in digital images

Computer Vision, Graphics, and Image Processing
Some characterizations of city block distance

Pattern Recognition Letters
An algorithm for calculating minimum Euclidean distance between two geographic features

Computers & Geosciences - Special issue on geographical computing
A parallel Euclidean distance transformation algorithm

Computer Vision and Image Understanding
Data clustering: a review

ACM Computing Surveys (CSUR)
Efficient Visual Recognition Using the Hausdorff Distance

Efficient Visual Recognition Using the Hausdorff Distance
Comparing Images Using the Hausdorff Distance

IEEE Transactions on Pattern Analysis and Machine Intelligence
Linear Time Euclidean Distance Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching: Similarity Measures and Algorithms

SMI '01 Proceedings of the International Conference on Shape Modeling & Applications
Image Analysis and Mathematical Morphology

Image Analysis and Mathematical Morphology

Quantified Score

Hi-index	0.00

Visualization

Abstract

The past decade has witnessed extensive development of measures that examine characteristics of spatial subsets (local spaces) defined with respect to a complete data set (global space). Such procedures have evolved independently in fields such as geography, ...