Volume XXXVIII-4/W19
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-4/W19, 97-100, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-4-W19-97-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-4/W19, 97-100, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-4-W19-97-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

  07 Sep 2012

07 Sep 2012

COLOR TEXTONS FOR BUILDING DETECTION

R. Hänsch and O. Hellwich R. Hänsch and O. Hellwich
  • Technische Universit¨at Berlin Computer Vision and Remote Sensing; FR3-1 Franklinstr. 28/29; 10587 Berlin, Germany

Keywords: feature extraction, textons, building detection, color information, filter

Abstract. Textons are known to be powerful operators in capturing textural properties of image regions. This paper proposes a new method to consistently combine structural cues as well as color information in an unified framework of color textons. They are used as features to detect buildings from optical imagery. Despite the simple classification algorithm, presented results are promising and show the usefulness of the proposed feature operator in remote sensing applications.