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Uydu Görüntülerinde Havaalanı Tespiti İçin Derin Öğrenme
Date
2016-12-14
Author
Halıcı, Uğur
Şengür, Abdulkadir
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http://www.savtek.metu.edu.tr
https://hdl.handle.net/11511/77041
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Uydu Görüntülerinin Otomatik Analizi ile Afet Hasar Tespiti ve Kanunsuz Sınır Geçişlerinin Önlenmesi
Alatan, Abdullah Aydın; Yarman Vural, Fatoş Tunay; Beşbınar, Beril; Akar, Gözde; Gürbüz, Yeti Ziya; Halıcı, Uğur; Batı, Emrecan; Ulusoy, İlkay; Çinar, Umut; Koz, Alper; Özdemir, Okan Bilge; Bati, Emrecan(2015-12-31)
Proje önerisinin temel amacı ODTÜ Görüntü Analizi Uygulama ve Araştırma Merkezi (OGAM) bünyesinde yer alan araştırıcıların geçmişte HAVELSAN altyükleniciliğinde gerçekleştirdikleri savunma ile ilgili SSM destekli HASAT projesi deneyim ve sonuçlarının, Avrupa Birliği H2020 Programı Uzay Alanı ana başlıkları ve çağrı alanlarına uygulanacak şekilde kurgulanmasıdır. Bu kapsamda, HASAT projesi kapsamında uydu görüntüleri içinde yer alan ve otomatik olarak tanınması için ayrı ayrı çalışmalar yürütülmüş istihbara...
A Shadow based trainable method for building detection in satellite images
Dikmen, Mehmet; Halıcı, Uğur; Department of Geodetic and Geographical Information Technologies (2014)
The purpose of this thesis is to develop a supervised building detection and extraction algorithm with a shadow based learning method for high-resolution satellite images. First, shadow segments are identified on an over-segmented image, and then neighboring shadow segments are merged by assuming that they are cast by a single building. Next, these shadow regions are used to detect the candidate regions where buildings most likely occur. Together with this information, distance to shadows towards illuminati...
Digital surface models from spaceborne images without ground control
Ataseven, Yoldaş; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2012)
Generation of Digital Surface Models (DSMs) from stereo satellite (spaceborne) images is classically performed by Ground Control Points (GCPs) which require site visits and precise measurement equipment. However, collection of GCPs is not always possible and such requirement limits the usage of spaceborne imagery. This study aims at developing a fast, fully automatic, GCP-free workflow for DSM generation. The problems caused by GCP-free workflow are overcome using freely-available, low resolution static DSM...
Global appearance based airplane detection from satellite imagery
Arslan, Duygu; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2012)
There is a rising interest in geospatial object detection due to not only the complexity of manual processing of such huge amount of data provided by high resolution satellite imagery but also for military application needs. A fundamental and yet state-of-the art approach for object detection is based on methods that utilize the global appearance. In such a holistic approach, the information of the object class is aimed to be modeled as a whole in the learning phase. And during the classification, a decisio...
Lineament analysis from satellite images, north-west of Ankara
Sarp, Gülcan; Toprak, Vedat; Department of Geodetic and Geographical Information Technologies (2005)
The purposes of this study are to extract lineaments from satellite images in order to contribute to the understanding of the faults. Landsat image is used for the analysis which is processed for both automated and manual extraction. During manual extraction four methods (filtering, PCA, band rationing and color composites) are used. Comparison of the two output maps indicated that manual extraction produced better results. Manually extracted lineament map is tested with the fault map of the area compiled f...
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U. Halıcı and A. Şengür, “Uydu Görüntülerinde Havaalanı Tespiti İçin Derin Öğrenme,” 2016, Accessed: 00, 2021. [Online]. Available: http://www.savtek.metu.edu.tr.