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Found 4 papers, 1 papers with code
Evaluation of a Canonical Image Representation for Sidescan Sonar
In this paper, a canonical transformation method consisting of intensity correction and slant range correction is proposed to decrease the above distortion.
Neural Network Normal Estimation and Bathymetry Reconstruction from Sidescan Sonar
In this article, we use a neural network to represent the map and optimize it under constraints of altimeter points and estimated surface normal from sidescan.
High-Resolution Bathymetric Reconstruction From Sidescan Sonar With Deep Neural Networks
This is then combined with the indirect but high-resolution seabed slope information from the sidescan to estimate the full bathymetry.
Optimizing the Long-Term Average Reward for Continuing MDPs: A Technical Report
cost), by integrating R-learning, a tabular reinforcement learning (RL) algorithm tailored for maximizing the long-term average reward, and traditional DRL algorithms, initially developed to optimize the discounted long-term cumulative reward rather than the average one.
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