Citation

BibTex format

@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}
}

RIS format (EndNote, RefMan)

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 -

Contact


For enquiries about the MRI Physics Collective, please contact:

Mary Finnegan
Senior MR Physicist at the Imperial College Healthcare NHS Trust

Pete Lally
Assistant Professor in Magnetic Resonance (MR) Physics at Imperial College

Jan Sedlacik
MR Physicist at the Robert Steiner MR Unit, Hammersmith Hospital Campus