.png){kind=icon}
返回
Urban object detection algorithm based on feature enhancement and progressive dynamic aggregation strategy
.png){kind=icon}
OA
AI
DOI：10.1080/10106049.2024.2322061.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Traditional target detection models face challenges in recognizing urban high-altitude remote sensing targets due to complex background noise and significant variations in target scale. These challenges can result in loss of feature information and missed object detection. In light of this, this article introduces a novel dual-gated feature mechanism and adaptive fusion strategy. First, the dual-gated feature mechanism enables selective suppression or enhancement of multilevel features, thereby reducing the interference of complex environmental noise in remote sensing on feature fusion. Second, the adaptive fusion strategy and module facilitate multilevel scale feature fusion, and by dynamically learning fusion weights, they mitigate scale conflicts during the feature extraction process and preserve feature information. Experimental comparisons and analysis on the RSOD and NWPU VHR-10 public datasets showcase the effectiveness of the proposed method. In comparison to current mainstream detection methods, the improved approach presented in this article demonstrates significant advantages in terms of detection performance and efficiency.
Keyword:
Remote sensing
algorithm feature extraction
image fusion
期刊
IF:
3.5
论文数:
2.4K
被引数:
6.9K
机构
引用论文
Detection of regions of interest in a high-spatial-resolution remote sensing image based on an adaptive spatial subsampling visual attention model基于自适应空间子采样视觉注意模型的高分辨率遥感影像感兴趣区域检测
PREAI
分享收藏Comparative study of layer by layer assembled multilayer films based on graphene oxide and reduced graphene oxide on flexible polyurethane foam: flame retardant and smoke suppression properties.png)
RSC Advances
RSC AdvancesIF0
PREAI
分享收藏Object detection in optical remote sensing images: A survey and a new benchmark光学遥感图像中的目标检测: 调查和新基准
OAAI
OAAI分享收藏Random Access Memories: A New Paradigm for Target Detection in High Resolution Aerial Remote Sensing Images随机存取存储器: 高分辨率航空遥感图像中目标检测的新范式
PREAI
分享收藏分享收藏Testing the concurrent validity of a naturalistic upper extremity reaching task测试自然主义上肢到达任务的同时有效性OAAI
OAAI分享收藏
查看更多内容