Uydu Görüntülerinin Yüksek Performansta İşlenmesi Üzerine Bir İnceme: Vektör Tabanlı Mozaik Örme Durum Çalışması

Uydu, uzaktan algılama, uydu görüntülerinin yüksek performansta işlenmesi ve farklı uydu sensörlerinden elde edilen uydu görüntülerinden nesne çıkarım çalışmaları son yıllarda popüler bir konu olmuştur. Ülkemizde de ilk yerli alçak yörünge (700 kilometre civarında) uyduları Göktürk2 ve RASAT’ın kurulmasının ardından Ay’a derin gözlem uydusu göndermek de 2023 hedefleri arasında yer almaktadır. İlgili gelişmelerle beraber uydu … Read more Uydu Görüntülerinin Yüksek Performansta İşlenmesi Üzerine Bir İnceme: Vektör Tabanlı Mozaik Örme Durum Çalışması

DIFET: Distributed Feature Extraction Tool For High Spatial Resolution Remote Sensing Images

In this paper, we propose distributed feature extraction tool from high spatial resolution remote sensing images. Tool is based on Apache Hadoop framework and Hadoop Image Processing Interface. Two corner detection (Harris and Shi-Tomasi) algorithms and five feature descriptors (SIFT, SURF, FAST, BRIEF, and ORB) are considered. Robustness of the tool in the task of … Read more DIFET: Distributed Feature Extraction Tool For High Spatial Resolution Remote Sensing Images

Resource- and content-aware, scalable stitching framework for remote sensing images

Abstract This paper proposes a new approach to solving the scalability problem in stitching and registration of satellite images. The image stitching process is mostly utilized to capture an image of an entire object, whose parts fall in separate but overlapping mosaics. Due to their high resolutions and huge sizes, the stitching of satellite mosaic … Read more Resource- and content-aware, scalable stitching framework for remote sensing images

DIFET: Distributed Feature Extraction Tool For High Spatial Resolution Remote Sensing Images

In this paper, we propose distributed feature extraction tool from high spatial resolution remote sensing images. Tool is based on Apache Hadoop framework and Hadoop Image Processing Interface. Two corner detection (Harris and Shi-Tomasi) algorithms and five feature descriptors (SIFT, SURF, FAST, BRIEF, and ORB) are considered. Robustness of the tool in the task of … Read more DIFET: Distributed Feature Extraction Tool For High Spatial Resolution Remote Sensing Images

Registering LandSat-8 Mosaic Images: A Case Study on the Marmara Sea

This paper proposes a feature-based image registering technique for remote sensing satellite images. The system is composed of multiple steps in which various image processing techniques are used. Speed-up Robust Features (SURF) and Scale Invariant Feature Transform (SIFT) can be mounted alternatively to detect and define features on images. We also address the issues of … Read more Registering LandSat-8 Mosaic Images: A Case Study on the Marmara Sea