SGMFNet：基于空间全局关注和多尺度特征融合的遥感图像目标检测网络

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

Remote Sensing Letters Pub Date : 2024-04-03 DOI:10.1080/2150704x.2024.2334194

Xiaolin Gong, Daqing Liu

引用次数: 0

摘要

当将自然图像检测方法应用于遥感图像时，由于物体的随机分布、复杂的背景、以及图像中的...

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SGMFNet: a remote sensing image object detection network based on spatial global attention and multi-scale feature fusion

When natural image detection methods are applied to remote sensing images, their detection performance is often unsatisfactory due to the random distribution of objects, complex backgrounds, and si...

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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.