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Proceedings Paper

Scene segmentation in remotely sensed image by the use of a cost minimization approach
Author(s): Fang Luo; Liu Lu
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Paper Abstract

In remotely sensed image analysis, image segmentation is still a difficult task for some images with high noise level such as SAR images. For the analysis of land parcels, we present an object-based method for image segmentation. (1) A cost function, based on the radiometric characteristic of objects, is defined. (2) An iterative procedure drives the cost to the minimum, in which simulated annealing plays an important role. (3) To improve segmentation result, the geometric and topological properties of objects are introduced to constrain image segmentation. Experimental results show that this approach can produce a good segmentation for images with low or extremely low signal-to-noise ratio.

Paper Details

Date Published: 17 August 1994
PDF: 8 pages
Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); doi: 10.1117/12.182903
Show Author Affiliations
Fang Luo, ITC (Netherlands)
Liu Lu, ITC (Netherlands)


Published in SPIE Proceedings Vol. 2357:
ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision
Heinrich Ebner; Christian Heipke; Konrad Eder, Editor(s)

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