FEATURE EXTRACTION FROM SATELLITE IMAGES USING SEGNET AND FULLY CONVOLUTIONAL NETWORKS (FCN)

FEATURE EXTRACTION FROM SATELLITE IMAGES USING SEGNET AND FULLY CONVOLUTIONAL NETWORKS (FCN)

Object detection and classification are among the most popular topics in Photogrammetry and Remote Sensing studies. With technological developments, a large number of high-resolution satellite images have been obtained and it has become possible to distinguish many different objects. Despite all the...

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Bibliographic Details
Main Authors:	Batuhan SARİTURK, Bulent BAYRAM, Zaide DURAN, Dursun Zafer SEKER
Format:	Article
Language:	English
Published:	Mersin University 2020-10-01
Series:	International Journal of Engineering and Geosciences
Subjects:	photogrammetry deep learning feature extraction segnet fully convolutional networks
Online Access:	https://dergipark.org.tr/tr/pub/ijeg/issue/54181/645426?publisher=https-www-selcuk-edu-tr-muhendislik-harita-akademik-personel-bilgi-3325-tr

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