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Semi-Automated Semantic Segmentation of Arctic Shorelines Using Very High-Resolution Airborne Imagery, Spectral Indices and Weakly Supervised Machine Learning Approaches
land water segmentation remote sensing deep learning sparse labels
2023/12/5
Precise coastal shoreline mapping is essential for monitoring changes in erosion rates, surface hydrology, and ecosystem structure and function. Monitoring water bodies in the Arctic National Wildlife...
Semantic Segmentation and Analysis on Sensitive Parameters of Forest Fire Smoke Using Smoke-Unet and Landsat-8 Imagery
forest fire remote sensing smoke segmentation Smoke-Unet attention mechanism residual block Landsat-8 band sensibility
2023/12/5
Forest fire is a ubiquitous disaster which has a long-term impact on the local climate as well as the ecological balance and fire products based on remote sensing satellite data have developed rapidly...
Effect of stand segmentation on growth and development of Norway spruce stands
Norway spruce forest tending skidding track
2015/3/16
Segmentation of stands by tracks is often the first phase of forest tending. However, a suitable track width is still discussed in forest practice in the Czech Republic. This article deals with the ef...
Development of Automatic Segmentation Software for Efficient Measurement of Area on the Digital Images of Plant Organs
area measurement image analysis petal senescence phenotypic analysis varietal differences
2010/11/24
We developed automatic segmentation software for efficient measurement of area on digital images of plant organs. This software enables to measure area size of plant organs from a large number of imag...