Dergiler / Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering / 2016 / Cilt: 58 - Sayı: 2

Rotation, scaling and translation invariant object recognition in satellite images

ROTATION, SCALING AND TRANSLATION INVARIANT OBJECT RECOGNITION IN SATELLITE IMAGES

Sayfa
28–49
Yayın Tarihi
2016-10-01
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

In consequence of contrasting studies the effects of these parameters upon object recognition have been emphasized

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Öz In satellite imagery, different shots may be taken according to viewing angle, rotation and scale.
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Temel Bulgular & Veri:The criterions affecting the performance of such a system are investigated in a strictly controlled environment.
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Sonuç & Katkı:In consequence of contrasting studies the effects of these parameters upon object recognition have been emphasized
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Anahtar Kelimeler Object recognition · RST invariance · feature extraction

Özet

Öz 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

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Bu Makaleye Atıf Yap

SOYMAN, Y., HAKKI, A. I. (2016). Rotation, scaling and translation invariant object recognition in satellite images. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, Cilt: 58 - Sayı: 2, 28–49. https://ajindex.com/articles/51178

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