ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W4, 207-214, 2015
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W4/207/2015/
doi: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
SALIENCY BASED SEGMENTATION OF SATELLITE IMAGES
A. Sharma1 and J. K. Ghosh2 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.
Conference paper (PDF, 1316 KB)


Citation: Sharma, A. and Ghosh, J. K.: SALIENCY BASED SEGMENTATION OF SATELLITE IMAGES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-3/W4, 207-214, doi:10.5194/isprsannals-II-3-W4-207-2015, 2015.

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