JatsTech

2687-4997_2019_1_1

Turkey Journal of Remote Sensing

Classification of remote sensing data with deep learning algorithms

Author: Mustafa Emre Döş, Murat Uysal Publishing Date: 2019 E-ISSN: 2687-4997 Volume: 1 Issue: 1 ABSTRACT: Today, with the rapid progress of technology, detailed information is obtained by using tools on different platforms about the environment we live in. Images obtained from air and satellite platforms are used in the production of spatial data. These images are used in many […]

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Extractıon of tea gardens by object-based classifıcation approach from high spatial resolutıon satellite images

Author: Burhan Baha Bilgilioğlu, Resul Çömert, Onur Yiğit, Ferhat Bedir Publishing Date: 2019 E-ISSN: 2687-4997 Volume: 1 Issue: 1 ABSTRACT: The tea plant, which grows especially in the Eastern Black Sea region, constitutes a large part of the livelihood of the people living in this region. However, landslides that occur due to rainfall in the Eastern Black Sea Region cause

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Analysis of change of wetlands by classification method: Sample of Bottomless Lagoon

Author: Şafak Bozduman Publishing Date: 2019 E-ISSN: 2687-4997 Volume: 1 Issue: 1 ABSTRACT: Wetlands are important natural formations for human life in economical, cultural and scientific aspects. These formations are also important for endangered plant or animal species which inhabit there. Therefore, working to protect wetlands is an important task for all living creatures on Earth. With the help of

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Investigation of the success of Sentinel-2A products in mapping of burned forest areas

Author: İbrahim Halil Saylan, Resul Çömert Publishing Date: 2019 E-ISSN: 2687-4997 Volume: 1 Issue: 1 ABSTRACT: Forests, which can be defined as the lungs of the world, cover one third of the world’s land surface and are considered as the main source of biodiversity. One of the biggest factors threatening this biodiversity is forest fires. Mapping of burned areas is

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Comparison of the synthetic aperture radar imaging algorithms

Author: Enes Yiğit Publishing Date: 2019 E-ISSN: 2687-4997 Volume: 1 Issue: 1 ABSTRACT: In this study, the performances of the matched filter, back-projection and w-k algorithms used in the reconstruction of the synthetic aperture radar images are compared. In the comparison, the parameters such as resolution, processing time, signal-to-noise ratio, signal-to-clutter ratio and integrated side lobe ratio are

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