基于快照集成的残差网络(SnapEnsemResNet)用于遥感图像场景分类

IF 2.2 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
M. Siddiqui, Khurram Khan, A. Fazil, M. Zakwan
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引用次数: 0

摘要

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Snapshot ensemble-based residual network (SnapEnsemResNet) for remote sensing image scene classification

Snapshot ensemble-based residual network (SnapEnsemResNet) for remote sensing image scene classification
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来源期刊
Geoinformatica
Geoinformatica 地学-计算机:信息系统
CiteScore
5.60
自引率
10.00%
发文量
25
审稿时长
6 months
期刊介绍: GeoInformatica is located at the confluence of two rapidly advancing domains: Computer Science and Geographic Information Science; nowadays, Earth studies use more and more sophisticated computing theory and tools, and computer processing of Earth observations through Geographic Information Systems (GIS) attracts a great deal of attention from governmental, industrial and research worlds. This journal aims to promote the most innovative results coming from the research in the field of computer science applied to geographic information systems. Thus, GeoInformatica provides an effective forum for disseminating original and fundamental research and experience in the rapidly advancing area of the use of computer science for spatial studies.
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