PENGUKURAN KETEBALAN LAPISAN METAL PADA PLASTIK BERBASIS SENSOR INFRAMERAH


An Improved Convolutional Network Architecture Based on Residual Modeling for Person Re-Identification in Edge Computing

Person re-identification is an important task in the field of video surveillance that concentrates on identifying the same person across different cameras.Some methods cannot learn effective image representations, due to the low resolution of pedestrian image data sets.In this article, we Pants propose a novel Siamese network architecture with laye

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High-Resolution Mapping of Shallow Water Bathymetry Based on the Scale-Invariant Effect Using Sentinel-2 and GF-1 Satellite Remote Sensing Data

High-resolution water depth data are of great significance in island research and coastal ecosystem monitoring.However, the acquisition of high-resolution imagery has been a challenge due to the difficulties and high costs associated with obtaining such data.To address this issue, this study proposes a water depth inversion method based on Gaofen-1

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