Regionwise Classification of Building Facade Images

Michael Ying Yang, Wolfgang Förstner

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

23 Citations (Scopus)

Abstract

In recent years, the classification task of building facade images receives a great deal of attention in the photogrammetry community. In this paper, we present an approach for regionwise classification using an efficient randomized decision forest classifier and local features. A conditional random field is then introduced to enforce spatial consistency between neighboring regions. Experimental results are provided to illustrate the performance of the proposed methods using image from eTRIMS database, where our focus is the object classes building, car, door, pavement, road, sky, vegetation, and window.
Original languageEnglish
Title of host publicationPhotogrammetric Image Analysis
Place of PublicationHeidelberg
PublisherSpringer
Chapter18
Pages209-220
Number of pages12
ISBN (Electronic)978-3-642-24393-6
ISBN (Print)978-3-642-24392-9
DOIs
Publication statusPublished - 2011
Externally publishedYes

Publication series

NamePhotogrammetric Image Analysis
Volume6952
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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