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FAD-SAR: A Novel Fishing Activity Detection System via Synthetic Aperture Radar Images Based on Deep Learning Method
This paper proposes a deep learning-based system for detecting fishing activities.
Flood Data Analysis on SpaceNet 8 Using Apache Sedona
This platform aims to enhance the efficiency of error analysis, a critical aspect of improving flood damage detection accuracy.
SDPL: Shifting-Dense Partition Learning for UAV-View Geo-Localization
Cross-view geo-localization aims to match images of the same target from different platforms, e. g., drone and satellite.
Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems
Simultaneously, the INN is designed to partition the parameter vector linked to the input physical field into two distinct components: the expansion coefficients representing the forward problem solution and the Gaussian latent noise.
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