SATELLITE IMAGE PROCESSING WORKFLOW FOR RASAT AND GÖKTÜRK-2

Dünyamızı sürekli gözlemlemek için yer gözlem uydularını kullanıyoruz. Yer gözlem uydularından alınan ham görüntülerin faydalı olabilmesi için, bu görüntüler çeşitli seviyelerde işlenmektedirler. Bu çalışmada, RASAT ve Göktürk-2 uydularının görüntülerinin işlenmesi için otomatik iş akışı tanımlanmaktadır. Önerilen otomatik iş akışı radyometrik kalibrasyon, MTF keskinleştirme, bant çakıştırma, parlama temizleme, jeoreferanslama, ortodüzeltme, pankeskinleştirme, renk iyileştirme ve kenar keskinleştirme işlemlerini içermektedir. Bu adımların, doğru tasarlanması ve uygulanması, farklı uygulamalar için yüksek radyometrik ve geometrik doğruluğa sahip görselliği yüksek görüntüler üretilmesi için gereklidir. Tanımlanan otomatik iş akışı sayesinde insan hatasından bağımsız standart uydu görüntüleme ürünleri oluşacaktır

RASAT VE GÖKTÜRK-2 İÇİN UYDU GÖRÜNTÜ İŞLEME İŞ AKIŞI

We rely on Earth observation satellites to continuously observe the Earth. To be useful, raw images acquired by these satellites are processed in several levels. In this paper, automated satellite image processing operations for RASAT and Göktürk-2 images are described as a workflow. Automated satellite image processing operations include radiometric calibration, MTF sharpening, band registration, flare correction, georeferencing, orthorectification, pansharpening, colour enhancement and edge sharpening. Careful design and application of these steps are important to retain an acceptable level of radiometric and geometric accuracy as well as visual quality for use with various applications. Finally, we introduce our satellite image processing workflow with automated processing steps, so that human intervention will be minimum and there will be standard products free from human error

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