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Methods and datasets on semantic segmentation for Unmanned Aerial Vehicle remote sensing images: A review
Abstract Unmanned Aerial Vehicle (UAV) has seen a dramatic rise in popularity for remote-
sensing image acquisition and analysis in recent years. It has brought promising results in …
sensing image acquisition and analysis in recent years. It has brought promising results in …
[HTML][HTML] The segment anything model (sam) for remote sensing applications: From zero to one shot
Segmentation is an essential step for remote sensing image processing. This study aims to
advance the application of the Segment Anything Model (SAM), an innovative image …
advance the application of the Segment Anything Model (SAM), an innovative image …
Lightweight, pre-trained transformers for remote sensing timeseries
G Tseng, R Cartuyvels, I Zvonkov, M Purohit… - ar** burned areas in Brazilian Pantanal and Amazon with PlanetScope imagery
Pantanal is the largest continuous wetland in the world, but its biodiversity is currently
endangered by catastrophic wildfires that occurred in the last three years. The information …
endangered by catastrophic wildfires that occurred in the last three years. The information …
DeepMineLys: Deep mining of phage lysins from human microbiome
Vast shotgun metagenomics data remain an underutilized resource for novel enzymes.
Artificial intelligence (AI) has increasingly been applied to protein mining, but its …
Artificial intelligence (AI) has increasingly been applied to protein mining, but its …
[HTML][HTML] A lightweight and scalable greenhouse map** method based on remote sensing imagery
W Chen, Q Wang, D Wang, Y Xu, Y He, L Yang… - International Journal of …, 2023 - Elsevier
Seeking a low-cost, high-efficiency greenhouse map** technology has immense
significance. While greenhouse extraction methods using deep learning have been …
significance. While greenhouse extraction methods using deep learning have been …