Yiǧilmiş genelleme yöntemiyle uydu görü ntülerinden otomatik bina bulunmasi

Translated title of the contribution: Automatic building detection from satellite images using stacked generalization architecture

Bariş Yüksel, Çaǧlar Şenaras, Mete Özay, Fatoş Yarman Vural

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes an automated segmentation, based algorithm for building detection in satellite images. The proposed method consists of a two layer hierarchical classification mechanism. In the first layer, each segment is classified by N different classifier according to different features. In the second layer of the mechanism, the class membership values of the segment from different first layer classifiers are concatenated to form a new vector, which is used by the meta classifier to classify the selected segment. The paper also presents the performance results of the proposed model and comparison with the single layer classifiers.

Translated title of the contributionAutomatic building detection from satellite images using stacked generalization architecture
Original languageTurkish
Title of host publication2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
Pages694-697
Number of pages4
DOIs
Publication statusPublished - 2011 Jul 21
Event2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 - Antalya, Turkey
Duration: 2011 Apr 202011 Apr 22

Publication series

Name2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011

Conference

Conference
CountryTurkey
CityAntalya
Period11/4/2011/4/22

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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