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Morphological Segmentation of Urban Structures H. Gokhan Akcay and Selim Aksoy

Summary: Morphological Segmentation of Urban Structures
H. G¨okhan Akc¸ay and Selim Aksoy
Department of Computer Engineering
Bilkent University
Bilkent, 06800, Ankara, Turkey
Abstract-- Automatic segmentation of high-resolution remote
sensing imagery is an important problem in urban applications
because the resulting segmentations can provide valuable spatial
and structural information that are complementary to pixel-
based spectral information in classification. We present a method
that combines structural information extracted by morphological
processing with spectral information summarized using principal
components analysis to produce precise segmentations that are
also robust to noise. First, principal components are com-
puted from hyper-spectral data to obtain representative bands.
Then, candidate regions are extracted by applying connected
components analysis to the pixels selected according to their
morphological profiles computed using opening and closing by
reconstruction with increasing structuring element sizes. Next,


Source: Aksoy, Selim - Department of Computer Engineering, Bilkent University


Collections: Computer Technologies and Information Sciences