GeoEtrim 2020 sürümü: Konumsal görüntü değerlendirme için akademik bir yazılım

Yıl 2021, , 104 - 119, 01.11.2021

Yunus Emre Elkar Hüseyin Topan

https://doi.org/10.9733/JGG.2021R0008.E

Öz

GeoEtrim (Geospatial Evaluation and Training of Images), optik görüntüleri konumsal olarak değerlendirmek için geliştirilen akademik yazılım paketler bütünüdür. GeoEtrim geçmişte MATLAB ortamında geliştirilmiş olsa da, çok büyük boyutlu görüntü dosyalarının içe aktarılması/okunması, yer kontrol noktalarının ve bağımsız denetim noktalarının kolay bir şekilde toplanması ve çeşitli hesaplamaların yapılmasındaki zorlukların üstesinden gelinmesi için başka bir programlama dilinde (C #) derlenmesine karar verilmiştir. Proje oluşturmak, görüntüleri içe aktarmak, görüntünün zıtlığını geliştirmek, yer kontrol noktaları ve bağımsız denetim noktalarını toplamak, GeoTransform alt paketi aracılığıyla algılayıcıdan bağımsız yöneltme yöntemlerini çalıştırmak mevcut sürümün sunduğu başlıca özelliklerdir. Ek olarak, uyuşumsuz ölçü testi ve parametre anlamlılık testleri de özellik olarak eklenmiştir. GeoEtrim akademik çalışmalar için ücretsiz olarak kullanılabilir ve böylelikle kullanıcı topluluğu her geçen gün artabilir. Bu makalede GeoEtrim 2020'nin hem kuramsal yapısı hem de grafik kullanıcı arayüzü tanıtılmaktadır.

Anahtar Kelimeler

GeoEtrim, Koordinat dönüşümü, Algılayıcı yöneltmesi, Grafik kullanıcı arayüzü, Konumsal bilgi

GeoEtrim 2020 executed version: an academic software for geospatial image evaluation

Öz

GeoEtrim (Geospatial Evaluation and Training of Images) is a set of academic software packages to evaluate optical images geospatially. Although GeoEtrim was developed in the MATLAB environment in the past, it was decided to be compiled in another programming language (C#) in order to overcome the challenges like importing/reading very big sized image files, collecting Ground Control Point (GCP) and Independent Check Point (ICP) in an easy way and running the orientation models, etc. Creating projects, importing image(s), enhancing the image contrast, collecting GCP&ICP and running sensor independent orientation models through sub-package GeoTransform are the major opportunities of the current version. In addition, GeoTransform itself enables blunder and parameter validation tests. GeoEtrim can also be used free-of-charge for academic purposes; therefore, its user community increases rapidly. This paper focus on both theoretical background and graphical user interface of GeoEtrim 2020 executed version.

Anahtar Kelimeler

GeoEtrim, Coordinate transformation, Sensor orientation, Graphical user interface, Geospatial information

Kaynakça

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