In this section
@article{Ke:2026:10.1109/LGRS.2026.3672315,
author = {Ke, Z and Xu, S and Wang, G and Zhang, Y and Yang, G},
doi = {10.1109/LGRS.2026.3672315},
journal = {IEEE Geoscience and Remote Sensing Letters},
title = {SAFE-Det: Scale-Adaptive Feature Enhancement for Remote Sensing Small-Object Detection},
url = {http://dx.doi.org/10.1109/LGRS.2026.3672315},
volume = {23},
year = {2026}
}
TY - JOUR
AB - Due to the minuscule size of objects and the presence of background noise in remote sensing images, the object detection in such images remains a challenging task. In an effort to enhance the detection accuracy of small objects, this letter proposes a novel scale-adaptive feature enhancement detection (SAFE-Det) framework named SAFE-Det. This framework is specifically designed for small-object detection in remote sensing images. SAFE-Det utilizes the residual connections and a multiscale parallel attention downsample (MPAD) module to dynamically preserve the features of small objects, thereby reducing the information loss. Moreover, it incorporates an adaptive perception core (APC) model that combines a triple-branch pyramid attention (TBPA) and microtarget augmentation (MTA). This module aims to highlight small objects while suppressing the background noise. In addition, SAFE-Det features a specialized small-object detection head that leverages high-resolution shallow features, thus overcoming the limitations of conventional methods. Experimental results on the VisDrone2019 and VEDAI datasets indicate that SAFE-Det achieves an mAP@0.5 of 41.3% and 73.0%, respectively. These results represent respective improvements of 7.9% and 6.7% over baseline models. Codes are available at: https://github.com/xjh1017/Reunion
AU - Ke,Z
AU - Xu,S
AU - Wang,G
AU - Zhang,Y
AU - Yang,G
DO - 10.1109/LGRS.2026.3672315
PY - 2026///
SN - 1545-598X
TI - SAFE-Det: Scale-Adaptive Feature Enhancement for Remote Sensing Small-Object Detection
T2 - IEEE Geoscience and Remote Sensing Letters
UR - http://dx.doi.org/10.1109/LGRS.2026.3672315
VL - 23
ER -
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