Paper Info
Title
Fusion of IKONOS Remote Sensing Filtered Images Using Shadow Information to Improve the Rate of Building Extraction in Urban Images
Abstract
Deficiency of unsharp mask filter in elimination of some regions in IKONOS remote sensing urban image is one of serious difficulties in building extraction from such images. Sometimes, saturation of intensity levels in filtered image makes some regions of image disappear. As a compensation for this issue, in this paper a method for fusion of unsharp mask filtered image and histogram equalized image is presented. In the first step, fusion of filtered images is accomplished. Since shadows give some information about the location of buildings, fusion of filtered images with considering the shadow location can be a satisfactory cure for elimination of image components such as buildings. Afterward, Bayesian classifier is applied to the fused laplacian and edge images to extract the buildings. Experimental results justify application of the proposed method in building extraction for IKONOS remote sensing images.
Year
DOI
Venue
2009
10.1109/ISDA.2009.58
ISDA
Keywords
Field
DocType
unsharp mask,shadow information,shadow location,unsharp mask filter,bayesian classifier,ikonos remote,histogram equalized image,urban images,filtered image,urban image,image component,building extraction,edge image,histogram equalization,edge detection,remote sensing,pixel,image recognition,image fusion,data mining
Unsharp masking,Histogram,Image fusion,Edge detection,Computer science,Remote sensing,Fusion,Artificial intelligence,Computer vision,Shadow,Pattern recognition,Naive Bayes classifier,Pixel
Conference
ISSN
Citations 
PageRank 
2164-7143
0
0.34
References 
Authors
10
3
Name
Order
Citations
PageRank
M. J. Rastegar Fatemi100.34
Seyed Mostafa Mirhassani231.77
Bardia Yousefi342.80