MwdpNet: towards improving the recognition accuracy of tiny targets in high-resolution remote sensing image
Dongling Ma,
Baoze Liu,
Qingji Huang
et al.
Abstract:This study aims to develop a deep learning model to improve the accuracy of identifying tiny targets on high resolution remote sensing (HRS) images. We propose a novel multi-level weighted depth perception network, which we refer to as MwdpNet, to better capture feature information of tiny targets in HRS images. In our method, we introduce a new group residual structure, S-Darknet53, as the backbone network of our proposed MwdpNet, and propose a multi-level feature weighted fusion strategy that fully utilizes … Show more
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