Automatic segmentation of VHR images using type information of local structures acquired by mathematical morphology

Date

2011-10-01

Author

AYTEKİN, orsan
Ulusoy, İlkay

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

216
views

0
downloads

The morphological profile (MP) and differential morphological profile (DMP) have been used extensively to acquire spatial information to be used in the segmentation of very high resolution (VHR) remotely sensed images. In most of the previous approaches, the maxima of the MP and DMP were investigated to estimate the best representative scale in the spatial domain for the pixel under consideration. Then, the object type (i.e. dark, bright or flat) was estimated based on the location of the maximum. Finally, the image segmentation was performed using the scale and type information as features. This approach usually causes over-segmentation. In this study, we also investigate the relevance of the DMP and the meaningful object types underlying the pixel of interest, however, instead of the maxima of the DMP, the type information is estimated using the whole DMP which is weighted by a weight function. Thus, the scale is not estimated directly but used indirectly in the estimation of the characteristic type for the object to which the pixel belongs. Then, the pixels are clustered based on their types only. The method has been applied to panchromatic high resolution QuickBird satellite images of the city of Ankara, Turkey. The results of the method were compared with previous studies and the proposed method seems to segment the images more precisely and semantically than the previous approaches.

Subject Keywords

Signal Processing, Software, Artificial Intelligence, Computer Vision and Pattern Recognition

URI

https://hdl.handle.net/11511/41783

Journal

PATTERN RECOGNITION LETTERS

DOI

https://doi.org/10.1016/j.patrec.2011.06.024

Collections

Department of Electrical and Electronics Engineering, Article

Suggestions

OpenMETU
Core

Camera auto-calibration using a sequence of 2D images with small rotations Hassanpour, R; Atalay, Mehmet Volkan (Elsevier BV, 2004-07-02) In this study, we describe an auto-calibration algorithm with fixed but unknown camera parameters. We have modified Triggs' algorithm to incorporate known aspect ratio and skew values to make it applicable for small rotation around a single axis. The algorithm despite being a quadratic one is easy to solve. We have applied the algorithm to some artificial objects with known size and dimensions for evaluation purposes. In addition, the accuracy of the algorithm has been verified using synthetic data. The des...
A matching algorithm based on linear features Atalay, Mehmet Volkan (Elsevier BV, 1998-07-01) A two step feature matching algorithm which is primarily aimed at problems related to the analysis of aerial images of man-made sites is presented. Only linear features and their geometric attributes are used in the algorithm. First, the rotation between the two images is calculated and then matching by relaxation is performed assuming that there is only translation.
New method for the fusion of complementary information from infrared and visual images for object detection Ulusoy, İlkay (Institution of Engineering and Technology (IET), 2011-02-01) Visual and infrared cameras have complementary properties and using them together may increase the performance of object detection applications. Although the fusion of visual and infrared information results in a better recall rate than using only one of those domains, there is always a decrease in the precision rate whereas the infrared domain on its own always has higher precision. Thus, the fusion of these domains is meaningful only for a better recall rate, which means that more foreground pixels are de...
A statistical approach to sparse multi-scale phase-based stereo Ulusoy, İlkay (Elsevier BV, 2007-09-01) In this study, a multi-scale phase based sparse disparity algorithm and a probabilistic model for matching uncertain phase are proposed. The features used are oriented edges extracted using steerable filters. Feature correspondences are estimated using phase-similarity at multiple scale using a magnitude weighting scheme. In order to achieve sub-pixel accuracy in disparity, we use a fine tuning procedure which employs the phase difference between corresponding feature points. We also derive a probabilistic ...
Undesirable effects of output normalization in multiple classifier systems Altincay, H; Demirekler, Mübeccel (Elsevier BV, 2003-06-01) Incomparability of the classifier output scores is a major problem in the combination of different classification systems. In order to deal with this problem, the measurement level classifier outputs are generally normalized. However, empirical results have shown that output normalization may lead to some undesirable effects. This paper presents analyses for some most frequently used normalization methods and it is shown that the main reason for these undesirable effects of output normalization is the dimen...

Citation Formats

o. AYTEKİN and İ. Ulusoy, “Automatic segmentation of VHR images using type information of local structures acquired by mathematical morphology,” PATTERN RECOGNITION LETTERS, pp. 1618–1625, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41783.