MAFPN：用于空中物体探测的局部-全局混合注意力特征金字塔网络

IF 1.4 4区地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

Remote Sensing Letters Pub Date : 2024-08-12 DOI:10.1080/2150704x.2024.2388853

Tengfei Ma, Haitao Yin

引用次数: 0

摘要

航空物体探测（AOD）旨在对遥感图像中的航空目标进行定位和分类，具有广泛的实际应用价值。目前，主流的特征金字塔网络（FPN）已在遥感图像中取得了巨大的成就。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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MAFPN: a mixed local-global attention feature pyramid network for aerial object detection

Aerial object detection (AOD) aims at locating and categorizing aerial targets in remote sensing image, which has wide practical applications. Mainstream feature pyramid network (FPN) has made grea...

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来源期刊

Remote Sensing Letters REMOTE SENSING-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

CiteScore

4.10

自引率

4.30%

发文量

审稿时长

6-12 weeks

期刊介绍： Remote Sensing Letters is a peer-reviewed international journal committed to the rapid publication of articles advancing the science and technology of remote sensing as well as its applications. The journal originates from a successful section, of the same name, contained in the International Journal of Remote Sensing from 1983 –2009. Articles may address any aspect of remote sensing of relevance to the journal’s readership, including – but not limited to – developments in sensor technology, advances in image processing and Earth-orientated applications, whether terrestrial, oceanic or atmospheric. Articles should make a positive impact on the subject by either contributing new and original information or through provision of theoretical, methodological or commentary material that acts to strengthen the subject.