ROTATION, SCALING AND TRANSLATION INVARIANT OBJECT RECOGNITION IN SATELLITE IMAGES

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Communications Faculty of Sciences University Ankara Series A2-A3 Physical and Engineering
Volume:58 Issue:2
ROTATION, SCALING AND TRANSLATION INVARIANT OBJECT RECOGNITION IN SATELLITE IMAGES

ROTATION, SCALING AND TRANSLATION INVARIANT OBJECT RECOGNITION IN SATELLITE IMAGES

Authors : Yusuf SOYMAN, Alparslan ILGIN HAKKI

Pages : 28-49

Doi:10.1501/commua1-2_0000000095

View : 14 | Download : 10

Publication Date : 2016-10-01

Article Type : Research Paper

Abstract :In satellite imagery, different shots may be taken according to viewing angle, rotation and scale. Algorithms used to recognize objects in satellite images should find them without being affected from these variations. In this paper, rotation, scaling and translation invariant object recognition in satellite imagery is performed. The criterions affecting the performance of such a system are investigated in a strictly controlled environment. As a result of experimental studies with the usage of different parameters, successful performances have been attained. In consequence of contrasting studies the effects of these parameters upon object recognition have been emphasized
Keywords : Object recognition, RST invariance, feature extraction, classification, clustering, Bag of Visual Words BOVW, rigid body, satellite imagery

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