Comparison of pixel to pixel and object-based image analysis with using WorldView-2 satellite images of Yangiobod village of Syrdarya province
| Autor: | Tursunoy Apakhodjaeva, Aybek Arifjanov, Shamshodbek Akmalov, Dilmira Tojikhodjaeva |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
010504 meteorology & atmospheric sciences
Pixel Computer science business.industry 0211 other engineering and technologies Object based 02 engineering and technology 01 natural sciences Image (mathematics) Computer vision Satellite Artificial intelligence business 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | InterCarto. InterGIS. 26:313-321 |
| ISSN: | 2414-9209 2414-9179 |
| DOI: | 10.35595/2414-9179-2020-2-26-313-321 |
| Popis: | Currently, more than 300 satellites have been launched into space and providing us with information about the Earth and processes which happens in there. Those information is very useful in all branches. These satellites started to modify and modernize year by year. Especially after 2000, satellites of very high resolution were launched into space. These satellites are sending information with very high resolution. To improve the speed and accuracy of the analysis of these images, scientists have developed a number of methods and programs. As a result, users often find face to difficulties with knowing which method or program is most effective. In this article, analyzed many researches and scientific studies and analyzed WorldView-2 (WV2) images of the Syrdarya Province based on field experiments and outlined the advantages and disadvantages of the method and tool. WV2 images are very important and provide much relevant data for all image analysis. VHR of these images can increase the quality and possibilities of all analysis. But usage of these images globally has not developed because of their costs. Square of satellite image capturing is very little for global analysis. to do global analysis we need 100 s of this image. That is why scientists use this data more often for correlation or creating general methods. That is why it has not been used for regional and global analysis. In our research, we used GEOBIA’s eCognition software. The accuracy of this program is 95 %. In arid regions like Uzbekistan, we recommend optimal software, analyse steps and data. |
| Databáze: | OpenAIRE |
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