Paper Info
Title
The use of voting strategy for building extraction from high resolution satellite images
Abstract
This paper proposes the use of voting strategy for extracting buildings front high resolution satellite images. Previously, the grouping strategy has been proposed and widely used for extraction of man-made features from images. In order to apply grouping we need to extract one complete line per each building side. However, this requirement may not he met for satellite images such as IKONOS images due to their spatial resolution. Often it long side of a building produces several lines with their orientation not necessarily identical. Lines from short side are often missing. In this situation we proposed to use a voting strategy. We vote line elements within a small region of interest for finding line position and orientation. The orientation and position are refined by a least squares matching process. We assessed the performance of our algorithm against an IKONOS image. Our algorithm extracted building lines from over 83% of buildings tested with an average angular accuracy of 2 degrees and average positional accuracy of 1.2 pixels. This promising result supports the use of voting strategy as proposed in this paper.
Year
DOI
Venue
2005
10.1109/IGARSS.2005.1525350
IGARSS
Keywords
Field
DocType
spatial resolution,image resolution,telematics,region of interest,data mining,feature extraction,artificial satellites,image segmentation
Computer vision,Electronic voting,Satellite,Voting,Computer science,Remote sensing,Feature extraction,Image segmentation,Artificial intelligence,Image resolution,Telematics
Conference
Volume
ISBN
Citations 
2
0-7803-9050-4
1
PageRank 
References 
Authors
0.36
8
4
Name
Order
Citations
PageRank
Taejung Kim116917.76
Tae-Yoon Lee2111.50
Young Jae Lim310.36
Kyung-Ok Kim494.06