利用大象启发的尖峰神经网络增强海洋场景匹配中的船舶检测和分类能力
IF 2
4区 地球科学
Q2 GEOCHEMISTRY & GEOPHYSICS
引用次数: 0
摘要
在海洋情报领域，在广阔的海洋上对船舶进行有效分类至关重要。尽管传统的识别技术取得了长足进步，但现有的方法仍表现出局限性......本文章由计算机程序翻译，如有差异，请以英文原文为准。
Utilizing Elephant Herd-Inspired Spiking Neural Networks for Enhanced Ship Detection and Classification in Marine Scene Matching
In the realm of marine intelligence, effective ship classification across vast oceanic expanses is pivotal. Despite strides in conventional identification techniques, existing methods exhibit limit...
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来源期刊
Marine Geodesy
地学-地球化学与地球物理
CiteScore
4.10
自引率
6.20%
发文量
27
审稿时长
>12 weeks
期刊介绍：
The aim of Marine Geodesy is to stimulate progress in ocean surveys, mapping, and remote sensing by promoting problem-oriented research in the marine and coastal environment.
The journal will consider articles on the following topics:
topography and mapping;
satellite altimetry;
bathymetry;
positioning;
precise navigation;
boundary demarcation and determination;
tsunamis;
plate/tectonics;
geoid determination;
hydrographic and oceanographic observations;
acoustics and space instrumentation;
ground truth;
system calibration and validation;
geographic information systems.
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