Classification and detection of various geographical features from satellite imagery
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Dosyalar
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
International University of Sarajevo
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
It is a challenging task to classify and detect various geographical features from the satellite imagery of the Earth as well as the celestial bodies. This paper puts forward several pixel based classification algorithms to classify geographical features from the satellite images of the Earth. The recorded experimental results, from a total of 606 satellite images to classify miscellaneous geographical features, demonstrate that the maximum algorithmic performances can approximate to 87%. This paper also addresses a simple algorithm based on edge approximation and circular Hough transformation to detect craters from the satellite imagery of celestial bodies. An online available dataset to detect craters evaluates the performance of the algorithm. In general, all the proposed algorithms are straightforward but in many ways effective. © 2018, International University of Sarajevo.
Açıklama
Anahtar Kelimeler
Classification, Craters, Detection, Satellite imagery
Kaynak
Periodicals of Engineering and Natural Sciences
WoS Q Değeri
Scopus Q Değeri
Q2
Cilt
6
Sayı
1
