Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Orsan Aytekin"'
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 10:471-475
The automatic detection of airports is essential due to the strategic importance of these targets. In this letter, a runway detection method based on textural properties is proposed since they are the most descriptive element of an airport. Since the
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 51:2431-2441
This paper proposes a new method for the classification of synthetic aperture radar (SAR) images based on a novel feature vector. The method aims at combining the intensity information of pixels with spatial information and structural relationships.
Autor:
Ilkay Ulusoy, Orsan Aytekin
Publikováno v:
Pattern Recognition Letters. 32:1618-1625
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 approac
Publikováno v:
International Journal of Remote Sensing. 33:2152-2177
A generic algorithm is presented for automatic extraction of buildings and roads from complex urban environments in high-resolution satellite images where the extraction of both object types at the same time enhances the performance. The proposed app
Publikováno v:
IGARSS
This paper proposes a new method for the classification of synthetic aperture radar (SAR) images based on a novel feature vector. The method aims at combining intensity information of pixels with spatial information and structural relationships. Unli
Publikováno v:
IGARSS
This paper presents a classification method for hyperspectral images utilizing Differential Morphological Profiles (DMPs) which permit to include in the analysis spatial information since they can provide an estimate of the size and contrast characte
Publikováno v:
IGARSS
This paper presents a segmentation method that exploits object based region merging to delineate the context of the image under investigation. There are two main steps. Initially, primitive objects are obtained by morphological operations that genera
Autor:
Orsan Aytekin, Ilkay Ulusoy
Publikováno v:
2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU).
This paper presents the use of morphological profiles to understand the context of the scene of concern. There are many studies in the literature exploiting morphological information focusing on granulometry and anti-granulometry. The well-known morp
Publikováno v:
2010 IAPR Workshop on Pattern Recognition in Remote Sensing.
A method based on textural features and Adaboost for detecting buildings in satellite images is proposed. Several local textural features including mean and standard deviation of image intensity and gradient, Zernike moments, Circular-Mellin features
Publikováno v:
SPIE Proceedings.
Data-driven unsupervised segmentation of high resolution remotely sensed images is a primary step in understanding remotely sensed images. A new fully automatic method to delineate the segments corresponding to objects in high resolution remotely sen