Land-Cover-Change Detection with Aerial Orthoimagery Using SegNet-Based Semantic Segmentation in Namyangju City, South Korea
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- Idowu Ezekiel Olorunfemi & Johnson Toyin Fasinmirin & Ayorinde Akinlabi Olufayo & Akinola Adesuji Komolafe, 2020. "GIS and remote sensing-based analysis of the impacts of land use/land cover change (LULCC) on the environmental sustainability of Ekiti State, southwestern Nigeria," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 661-692, February.
- Sajjad Hussain & Linlin Lu & Muhammad Mubeen & Wajid Nasim & Shankar Karuppannan & Shah Fahad & Aqil Tariq & B. G. Mousa & Faisal Mumtaz & Muhammad Aslam, 2022. "Spatiotemporal Variation in Land Use Land Cover in the Response to Local Climate Change Using Multispectral Remote Sensing Data," Land, MDPI, vol. 11(5), pages 1-19, April.
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- Zhiyong Wang & Chongchang Wang & Yuchen Liu & Jindi Wang & Yinguo Qiu, 2023. "Real-Time Identification of Cyanobacteria Blooms in Lakeshore Zone Using Camera and Semantic Segmentation: A Case Study of Lake Chaohu (Eastern China)," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
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Keywords
land-cover classification; aerial orthoimagery; semantic segmentation; change detection;All these keywords.
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