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Building detection in high resolution remotely sensed images based on morphological operations
Date
2009-06-13
Author
Ulusoy, İlkay
Esra, Abacıoğlu
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https://hdl.handle.net/11511/87936
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Building Detection in High Resolution Remotely Sensed Images Based on Morphological Operators
Aytekin, Örsan; Ulusoy, İlkay; Abacioglu, Esra Zeynep; Gokcay, Erhan (2009-06-13)
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 ...
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A method for detecting buildings from satellite/aerial images is proposed in this study. The aim is to extract rectilinear buildings by using hypothesize first verify next manner. Hypothesis generation is accomplished by using edge detection and line generation stages. Hypothesis verification is carried out by using information obtained both from the color segmentation of HSV representation of the image and the shadow detection stages’ output. Satellite/aerial image is firstly filtered to sharpen the edges....
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İ. Ulusoy and A. Esra, “Building detection in high resolution remotely sensed images based on morphological operations,” 2009, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/87936.