Title
Multi-Kernel Implicit Curve Evolution for Selected Texture Region Segmentation in VHR Satellite Images
Abstract
Very high resolution (VHR) satellite images provide a mass of detailed information which can be used for urban planning, mapping, security issues, or environmental monitoring. Nevertheless, the processing of this kind of image is timeconsuming, and extracting the needed information from among the huge quantity of data is a real challenge. For some applications such as natural disaster prevention and monitoring (typhoon, flood, bushfire, etc.), the use of fast and effective processing methods is demanded. Furthermore, such methods should be selective in order to extract only the information required to allow an efficient interpretation. For this purpose, we propose a texture region segmentation method using the level set algorithm and the multi-kernel theory. We design a selective and local multi-kernel stop function for which the regularization term depends on the fuzzy membership degree of a given pixel to be on the boundary or not. Favored by its local nature, the method is accelerated by means of an NVIDIA graphics processing unit programming. The new algorithm is selective, effective, and fast. Experimental results on VHR satellite images demonstrate subjectively and objectively the effectiveness of the proposed method.
Year
DOI
Venue
2014
10.1109/TGRS.2013.2287239
Geoscience and Remote Sensing, IEEE Transactions  
Keywords
Field
DocType
artificial satellites,fuzzy systems,graphics processing units,image segmentation,operating system kernels,NVIDIA graphics processing unit programming,VHR satellite images,fuzzy membership degree,level set algorithm,multikernel implicit curve evolution,texture region segmentation,Fuzzy membership function,geometric active contours,graphics processing units (GPUs),image segmentation,partial differential equations
Computer vision,Scale-space segmentation,Computer science,Segmentation,Image texture,Fuzzy logic,Image segmentation,Regularization (mathematics),Pixel,Artificial intelligence,Graphics processing unit
Journal
Volume
Issue
ISSN
52
8
0196-2892
Citations 
PageRank 
References 
2
0.36
0
Authors
6
Name
Order
Citations
PageRank
Souleymane Balla-Arabe11086.97
Xinbo Gao25534344.56
Bin Wang32229.85
Fan Yang413313.50
Vincent Brost5456.75
Balla-Arabe, S.620.36