Edra, Anggun Purnama and Suharyadi, Suharyadi and Farda, Nur Mohammad and Arjasakusuma, Sanjiwana (2023) Urban Green Space Segmentation in Planet Scope Satellite Images Based on the Improvement of U-Net Architecture. In: 3rd International Conference on Information Technology and Advanced Mechanical and Electrical Engineering, ICITAMEE 2022, 20 July 2022through 21 July 2022, Yogyakarta.
Full text not available from this repository. (Request a copy)Abstract
Urban Green Space is one of the important areas in urban areas which is characterized by the presence of vegetation and is a factor in determining temperature and air quality in urban areas. It plays an important role in balance, comfort, health, sustainability, and improving the quality of human life. Research on deep learning using satelliteimagery, especially in urban green space segmentation, is still very rare. Therefore, we conducted research with deep learning in urban green space segmentation using satellite imagery. We made improvements from previous researchersby using U-Net architecture to segment urban green space with planet scope satellite images in Sleman Regency and Yogyakarta City. The dataset that we have has a resolution of 3m and 4 bands, namely Red, Green, Blue and Nir. From the results of the training model, our method gets the smallest loss with a value of 0.012 for training and 0.0006 for validation. Our method obtains an IoU score of 90.68 which outperforms previous studies with our dataset. © 2023 American Institute of Physics Inc.. All rights reserved.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Cited by: 0; Conference name: 3rd International Conference on Information Technology and Advanced Mechanical and Electrical Engineering, ICITAMEE 2022; Conference date: 20 July 2022 through 21 July 2022; Conference code: 196010 |
Uncontrolled Keywords: | Urban Green,Sattelite image,Planetscope |
Subjects: | G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography |
Divisions: | Faculty of Geography > Departemen Sains Informasi Geografi |
Depositing User: | Sri Purwaningsih Purwaningsih |
Date Deposited: | 03 Sep 2024 04:01 |
Last Modified: | 03 Sep 2024 04:01 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/6139 |