NDLI: Building detection in high resolution remotely sensed images based on morphological operators

Content Provider	IEEE Xplore Digital Library
Author	Aytekin, O. Ulusoy, I. Abacioglu, E.Z. Gokcay, E.
Copyright Year	2009
Description	Author affiliation: Computer Vision and Intelligent Systems Research Laboratory, EEE Dep. METU 06531 Ankara, Turkey (Aytekin, O.; Ulusoy, I.) \|\| Havelsan Inc. 06520, Ankara, Turkey (Abacioglu, E.Z.; Gokcay, E.)
Abstract	Information retrieval from high resolution remotely sensed images is a challenging issue due to the inherent complexity and the curse of dimensionality of data under study. This paper presents an approach for building detection in high resolution remotely sensed images incorporating structural information of spatial data into spectral information. The proposed approach moves along eliminating irrelevant areas in a hierarchical manner. As a first step, pan-sharpened image is obtained from multi-spectral and panchromatic bands of Quickbird image. Vegetation and shadow regions are masked out by using Normalized Difference Vegetation Index (NDVI) and ratio of hue to intensity in YIQ model, respectively. Then, panchromatic band is filtered by mean shift filtering for smoothing structures while preserving the discontinuities near boundaries. Next, differential morphological profile (DMP) is calculated for each pixel and a relative measure of structure size is recorded as the first maximum value of DMP which generates a labeled image representing connected components according to sizes of structures. However, there appear some connected components which are irrelevant to buildings in shape. To eliminate those connected components, their skeletons are obtained via thinning to get a relative length measure along with measuring areas of connected components. These measures are compared to a threshold individually, which provides a cue for a candidate building structure.
Starting Page	376
Ending Page	379
File Size	795025
Page Count	4
File Format	PDF
ISBN	9781424436279
DOI	10.1109/RAST.2009.5158228
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-11
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image resolution Smoothing methods Filtering Buildings Area measurement Image retrieval DMP mean shift filtering Length measurement shadow detection Information retrieval Building detection morphological profile NDVI Vegetation mapping Spatial resolution
Content Type	Text
Resource Type	Article

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