求解地表遥感图像语义分割问题时卷积神经网络超参数值的选择

IF 1 Q4 OPTICS

Optical Memory and Neural Networks Pub Date : 2020-12-23 DOI:10.3103/S1060992X20040086

D. M. Igonin, P. A. Kolganov, Yu. V. Tiumentsev

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Choosing Hyperparameter Values of the Convolution Neural Network When Solving the Problem of Semantic Segmentation of Images Obtained by Remote Sensing of the Earth’s Surface

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Choosing Hyperparameter Values of the Convolution Neural Network When Solving the Problem of Semantic Segmentation of Images Obtained by Remote Sensing of the Earth’s Surface

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来源期刊

Optical Memory and Neural Networks OPTICS-

CiteScore

1.50

自引率

11.10%

发文量

期刊介绍： The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.