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
Primary Language | English |
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Journal Section | Research Articles |
Authors | |
Publication Date | October 1, 2016 |
Published in Issue | Year 2016 |
Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering
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