17 August 1994 Scene segmentation in remotely sensed image by the use of a cost minimization approach
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Proceedings Volume 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision; (1994) https://doi.org/10.1117/12.182903
Event: Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, 1994, Munich, Germany
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fang Luo, Fang Luo, Liu Lu, Liu Lu, } "Scene segmentation in remotely sensed image by the use of a cost minimization approach", Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); doi: 10.1117/12.182903; https://doi.org/10.1117/12.182903
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