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Urban areas analysis using satellite image segmentation and deep neural network for automatically extracting the locations of buildings from high-resolution aerial images. To analyze the quality
The High Resolution Ultrasonic Well Imager high-resolution ultrasonic borehole imager. Using the examples of comparing ultrasonic data images
Building detection on aerial images using U-NET neural networks of algorithms. This approach allows to cope with the problem of segmentation for aerial high-resolution images
An Improved Super-Resolution Generative Adversarial NetworkAn improved SRGAN image generation model proposed to address the increasing demand
for high-resolution
Experience of modeling relief of impact lunar crater Aitken based on high-resolution orbital images of modeling the relief of lunar Aitken crater on the basis of high-resolution orbital images. The images were
Enhancement of the Temporal Resolution of Fluorescent Signals Acquired by the Confocal Microscope resolution. The convolution of the recorded images results in a signal with the temporal resolution
RMNET: A Residual and Multi-scale Feature Fusion Network For High-resolution Image Semantic SegmentationHigh-resolution remote sensing images have high
clarity and provide signifi cant support for urban
HRGC-YOLO for Urine Sediment Particle Detection in High-Resolution Microscopic Images.
However, directly applying CNN-based detectors to high-
resolution USP microscopic images poses two
Geometry-based automated recognition of objects on satellite images of sub-meter resolution on multispectral satellite images of submeter spatial resolution using radiometric and geometric features
FDR-controlled metabolite annotation for high-resolution imaging mass spectrometry annotation at the level of the molecular sum formula, for high-mass-resolution imaging mass spectrometry
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