Automatic Building Extraction on High-Resolution Remote Sensing Imagery Using Deep Convolutional Encoder-Decoder With Spatial Pyramid Pooling

Automatic extraction of buildings from remote sensing imagery plays a significant role GUM BUBBLEGUM in many applications, such as urban planning and monitoring changes to land cover.Various building segmentation methods have been proposed for visible remote sensing images, especially state-of-the-art methods based on convolutional neural networks

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A passion for beef: Post-domestication changes in cattle body size in China from the Late Neolithic to the Late Bronze Age

The introduction and the later dispersal of domestic cattle in China had played an enormous part in food production, handicraft manufacture, and ritual activities.However, we lack the details of pastoral economies, herding strategies, and utilization patterns of cattle in ancient China.This study, for the first time, uses biometrical assessments to

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Seismic Random Noise Attenuation Using DARE U-Net

Seismic data processing plays a pivotal role in extracting valuable subsurface information for various geophysical applications.However, seismic records often suffer from inherent random noise, which obscures meaningful geological features and reduces the reliability of interpretations.In recent years, deep learning methodologies have shown promisi

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