Abstract: The study explores the impact of data harmonization on transfer learning approaches for DL-based LULC classification. With the availability of multi-constellation satellites, there is an ...
Abstract: Satellite images are commonly used to monitor land use land cover (LULC) changes. Unfortunately, publicly available images often lack the resolution required for detailed urban studies. In ...
School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu Rigorous urbanization leads to unprecedented climate change. Pune area in India has witnessed recent ...
As part of its commitment to improving the understanding of Classification within the Paralympic Movement, the IPC provides a free, open access online course. Whether you’re an Athlete, coach, ...
Planet earth is quite an amazing place, because it’f full of life. From creatures that are so small we can’t even see them, to creatures that are so huge they could squash a whole house. Each ...
This Genome Watch discusses the great biosynthetic capacity that has been identified in marine environmental and host-associated microbiomes, along with approaches to facilitate research into these ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Semantic segmentation is a crucial task in remote sensing, focused on classifying every pixel within an image for various land use and land cover (LULC) applications. This project introduces MeViT ...
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