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Computer Science > Computer Vision and Pattern Recognition

arXiv:cs/0703053 (cs)
[Submitted on 12 Mar 2007]

Title:Extraction of cartographic objects in high resolution satellite images for object model generation

Authors:Guray Erus (CRIP5), Nicolas Loménie (CRIP5)
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Abstract: The aim of this study is to detect man-made cartographic objects in high-resolution satellite images. New generation satellites offer a sub-metric spatial resolution, in which it is possible (and necessary) to develop methods at object level rather than at pixel level, and to exploit structural features of objects. With this aim, a method to generate structural object models from manually segmented images has been developed. To generate the model from non-segmented images, extraction of the objects from the sample images is required. A hybrid method of extraction (both in terms of input sources and segmentation algorithms) is proposed: A region based segmentation is applied on a 10 meter resolution multi-spectral image. The result is used as marker in a "marker-controlled watershed method using edges" on a 2.5 meter resolution panchromatic image. Very promising results have been obtained even on images where the limits of the target objects are not apparent.
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:cs/0703053 [cs.CV]
  (or arXiv:cs/0703053v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.cs/0703053
Journal reference: 4th Workshop on pattern Recognition in Remote Sensing in conjunction with ICPR2006 (08/2006) 00-00

Submission history

From: Nicolas Lomenie [view email] [via CCSD proxy]
[v1] Mon, 12 Mar 2007 15:57:23 UTC (221 KB)
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