Volume II-3/W4
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W4, 207-214, 2015
https://doi.org/10.5194/isprsannals-II-3-W4-207-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W4, 207-214, 2015
https://doi.org/10.5194/isprsannals-II-3-W4-207-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  11 Mar 2015

11 Mar 2015

SALIENCY BASED SEGMENTATION OF SATELLITE IMAGES

A. Sharma1 and J. K. Ghosh2 A. Sharma and J. K. Ghosh
  • 1Research Scholar, Geomatics Section, Civil Engineering Department, Indian Institute of Technology, Roorkee, Uttarakhand, India
  • 2Associate Professor, Civil Engineering Department, Indian Institue of Technology, Roorkee, Uttarakhand, India

Keywords: psychovisual, saliency, segmentation, satellite image

Abstract. Saliency gives the way as humans see any image and saliency based segmentation can be eventually helpful in Psychovisual image interpretation. Keeping this in view few saliency models are used along with segmentation algorithm and only the salient segments from image have been extracted. The work is carried out for terrestrial images as well as for satellite images. The methodology used in this work extracts those segments from segmented image which are having higher or equal saliency value than a threshold value. Salient and non salient regions of image become foreground and background respectively and thus image gets separated. For carrying out this work a dataset of terrestrial images and Worldview 2 satellite images (sample data) are used. Results show that those saliency models which works better for terrestrial images are not good enough for satellite image in terms of foreground and background separation. Foreground and background separation in terrestrial images is based on salient objects visible on the images whereas in satellite images this separation is based on salient area rather than salient objects.