Paper Info
Title
Data Transformation Functions for Expanded Search Spaces in Geographic Sample Supervised Segment Generation
Abstract
Sample supervised image analysis, in particular sample supervised segment generation, shows promise as a methodological avenue applicable within Geographic Object-Based Image Analysis (GEOBIA). Segmentation is acknowledged as a constituent component within typically expansive image analysis processes. A general extension to the basic formulation of an empirical discrepancy measure directed segmentation algorithm parameter tuning approach is proposed. An expanded search landscape is defined, consisting not only of the segmentation algorithm parameters, but also of low-level, parameterized image processing functions. Such higher dimensional search landscapes potentially allow for achieving better segmentation accuracies. The proposed method is tested with a range of low-level image transformation functions and two segmentation algorithms. The general effectiveness of such an approach is demonstrated compared to a variant only optimising segmentation algorithm parameters. Further, it is shown that the resultant search landscapes obtained from combining mid-and low-level image processing parameter domains, in our problem contexts, are sufficiently complex to warrant the use of population based stochastic search methods. Interdependencies of these two parameter domains are also demonstrated, necessitating simultaneous optimization.
Year
DOI
Venue
2014
10.3390/rs6053791
REMOTE SENSING
Keywords
Field
DocType
geographic object-based image analysis,segmentation,data transformations,sample supervised,spatial metrics,metaheuristics
Population,Data mining,Scale-space segmentation,Data transformation (statistics),Segmentation,Image processing,Segmentation-based object categorization,Image segmentation,Mathematics,Metaheuristic
Journal
Volume
Issue
ISSN
6
5
2072-4292
Citations 
PageRank 
References 
5
0.51
23
Authors
2
Name
Order
Citations
PageRank
Christoff Fourie171.88
Elisabeth Schoepfer2185.99