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Global Intelligent Industry Conference (GIIC)

作者： Zhang, Ruichen Chen, Yongbing Bian, Shaofeng Gao, Duanyang Naval Univ Engn Dept Nav Wuhan 430033 Hubei Peoples R China

ISBN: (数字)9781510623002

ISBN: (纸本)9781510623002

In view of the complexity and variability of bathymetric data, the paper introduces a new algorithm named DAE-WGAN to construct sea bottom trend surface. This new model is an alternative to traditional GAN training method, combined with the advantages of Denoising Autoencoder (DAE) and Wasserstein Generative Adversarial Network (WGAN). Firstly, the network structure is introduced in detail, in which the critic (or 'discriminator') estimates the Wasserstein-1 distance between the generated-sample distributions and the real-sample distributions, and optimizes the generator to approximate the minimum Wasserstein-1 distance, which effectively improves the stability of the adversarial training. Moreover, the generalized Denoising Autoencoder algorithm is added to train the back-propagation process, having a better ability of dimensionality reduction, which improves the robustness of the whole algorithm. Then, using two different types of bathymetric data (seabed tiny-terrain data and Electronic Nautical Chart data), we had long-time experiments to train the DAE-WGAN till optimality, and got the better sea bottom trend surface. Finally, by comparison with other GAN models (such as InFoGAN, LSGAN), the results show that the proposed method has an obvious improvement in accuracy, stability and robustness, and further illustrate the feasibility of this method in bathymetric precise data processing area.

关键词： Denoising Autoencoder Wasserstein generative adversarial network bathymetric data processing Feature extraction

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bathymetric data Fitting based on Fourier Series of Linear Complementarity 40

Bathymetric Data Fitting based on Fourier Series of Linear C...

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40th Chinese Control Conference (CCC)

作者： Zhang, Ruichen Bian, Shaofeng Ji, Bing Naval Univ Engn Dept Nav Wuhan Hubei Peoples R China

ISBN: (纸本)9789881563804

Fourier series of Linear Complementarity is introduced into the field of bathymetric data fitting. Firstly, in data preprocessing, the principles of grid processing in bathymetry is given in the paper. And then, different methods of complementarity (none complementarity, direct complementarity and linear complementarity) are compared and analyzed, which shows that the Fourier Series of linear complementarity method can effectively improve the convergence speed of modeling. And the result futher illustrated that the Fourier series of linear complementarity has a wide application in the bathymetric data processing.

关键词： Fourier series linear complementarity bathymetric data processing

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Parallel variable-resolution bathymetric estimation with static load balancing

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COMPUTERS & GEOSCIENCES 2019年 123卷 73-82页

作者： Calder, B. R. Univ New Hampshire Ctr Coastal & Ocean Mapping Durham NH 03824 USA Univ New Hampshire NOAA Joint Hydrog Ctr Durham NH 03824 USA

A method for partitioning a large computation task (direct, variable resolution bathymetric grid construction from raw observations) into thread-parallel code is described. Based on the data density estimated for the first pass of the CHRT algorithm, this algorithm statically partitions the estimation task into spatially distinct blocks of approximately equal total data observation count so that each can be executed in parallel and be expected to complete approximately concurrently. No communication between blocks or further load balancing is therefore required. A branch-and-bound algorithm is used to control the complexity of the partitioning task, but the computation time increases significantly as more partitions are required, leading to a degree of diminishing returns for allocating further computational resources and suggesting alternative approaches for high thread count systems. Speed-up of the algorithm over a pair of test datasets (using real-world hydrographic survey data) shows that the performance consistently improves with the number of computational tasks assigned, initially (super-) linearly, although ultimately sub-linearly as other resource sharing limitations take over. An overall speedup of 4.1 times is demonstrated with a quad-core single-processor workstation.

关键词： Parallel processing CHRT CUBE data-driven estimation Branch and bound bathymetric data processing Surface estimation

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Multibeam Echosounder Simulator Applying Noise Generator for the Purpose of Sea Bottom Visualisation

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16th International Conference on Image Analysis and processing (ICIAP)

作者： Maleika, Wojciech Palczynski, Michal Frejlichowski, Dariusz W Pomeranian Univ Technol Fac Comp Sci & Informat Technol PL-71210 Szczecin Poland

ISBN: (纸本)9783642240874;9783642240881

Hydroacoustic data form almost the only basis for seabed imaging [1]. The accuracy of scanning devices is therefore crucial for the reliability of the images. In the paper, the precision of the Simrad EM3000 multibeam echosounder was examined by means of statistical methods on real data. The maximum and mean errors were estimated, the correlation of error value and angle between the beam and the vertical line could be observed as well. The results of the experiments will help to increase the accuracy of terrain modeling of the sea bottom what will result in more realistic visualizations. The results of those experiments were implemented in the multibeam echosounder simulator.

关键词： bathymetric data processing multibeam echosounder error of measurement simulation

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bathymetric data Fitting based on Fourier Series of Linear Complementarity

Bathymetric Data Fitting based on Fourier Series of Linear C...

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第40届中国控制会议

作者： Ruichen Zhang Shaofeng Bian Bing Ji Department of Navigation Naval University of Engineering

Fourier series of Linear Complementarity is introduced into the field of bathymetric data fitting. Firstly, in data preprocessing, the principles of grid processing in bathymetry is given in the paper. And then, different methods of complementarity(none complementarity, direct complementarity and linear complementarity) are compared and analyzed, which shows that the Fourier Series of linear complementarity method can effectively improve the convergence speed of modeling. And the result futher illustrated that the Fourier series of linear complementarity has a wide application in the bathymetric data processing.

关键词： Fourier series linear complementarity bathymetric data processing

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