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MARKER-CONTROLLED WATERSHED-BASED SEGMENTATION OF
MULTIRESOLUTION REMOTE SENSING IMAGES
ABSTRACT
A new technique for the segmentation of single- andmultiresolution (MR) remote sensing
images is proposed. To guaranteethe preservation of details at fine scales, edge-based
watershedis used, with automatically generated markers that help inlimiting oversegmentation.
ForMR images, the panchromatic andmultispectral components are processed independently,
extractingboth the edge maps and the morphological and spectral markersthat are eventually
fused at the highest resolution, thus avoidingany information loss induced by pansharpening.
Numerical resultson object layer extraction and simple classification tasks provethe proposed
techniques to provide accurate segmentation maps,which preserve fine details and, contrary to
state-of-the-art products,can single out objects equally well at very different scales.

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Computational Engineering IITH Presentation
 

Marker controlled watershed-based segmentation of multiresolution remote sensing images

  • 1. MARKER-CONTROLLED WATERSHED-BASED SEGMENTATION OF MULTIRESOLUTION REMOTE SENSING IMAGES ABSTRACT A new technique for the segmentation of single- andmultiresolution (MR) remote sensing images is proposed. To guaranteethe preservation of details at fine scales, edge-based watershedis used, with automatically generated markers that help inlimiting oversegmentation. ForMR images, the panchromatic andmultispectral components are processed independently, extractingboth the edge maps and the morphological and spectral markersthat are eventually fused at the highest resolution, thus avoidingany information loss induced by pansharpening. Numerical resultson object layer extraction and simple classification tasks provethe proposed techniques to provide accurate segmentation maps,which preserve fine details and, contrary to state-of-the-art products,can single out objects equally well at very different scales.