Results 11 to 20 of about 10,627,489 (123)

IR-SAM2: Target Enhancement with SAM2 for Infrared Small Target Detection

Remote Sensing
Foundation models such as the Segment Anything Model (SAM) have substantially advanced promptable object segmentation in remote sensing. However, extending these capabilities to infrared small target detection (IRSTD) remains highly challenging in the ...
Zongduo Hao, Xiaocui Dang, Yanyu Zhang, Jinshui Miao, Zhiming Li, Xiankai Lu   +5 more
doaj   +2 more sources

Infrared Small Target Detection Based on Weak Feature Enhancement and Target Adaptive Proliferation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The imbalance between positive and negative samples and the loss of small targets in complex backgrounds are catastrophic for infrared small target detection.
Xiaoyu Xu, Weida Zhan, Yichun Jiang, Depeng Zhu, Yu Chen, Jinxin Guo, Ziqiang Hao, Deng Han   +7 more
doaj   +2 more sources

Pixel-wise attention driven infrared small target detection network

Xibei Gongye Daxue Xuebao
Infrared small target detection has been widely used in the military and civil fields. The detection difficulties lie in small target size, few details and complex background interference.
WANG Xiaolin, FANG Houzhang, LI Xueting, WU Chenxing, WANG Liming   +4 more
doaj   +2 more sources

Dual Enhancement Network for Infrared Small Target Detection

Applied Sciences
Infrared small target detection (IRSTD) is crucial for applications in security surveillance, unmanned aerial vehicle identification, military reconnaissance, and other fields.
Xinyi Wu, Xudong Hu, Huaizheng Lu, Chaopeng Li, Lei Zhang, Weifang Huang   +5 more
doaj   +2 more sources

A Low Signal-to-Noise Ratio Infrared Small-Target Detection Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Space-based infrared detection technology is critical to space situational awareness, playing a significant role in noncooperative space object detection, threat perception, and space target surveillance.
Fenghong Li, Peng Rao, Wen Sun, Yueqi Su, Xin Chen   +4 more
doaj   +2 more sources

PromptScaleDINO: Prompt-Stabilized and Scale-Aware Adaptation of Grounding DINO for Infrared Small Target Detection

Remote Sensing
Infrared small target detection (IRSTD) supports remote-sensing surveillance and early warning, but infrared targets often occupy only a few pixels, exhibit weak appearance cues, and resemble thermal clutter.
Chichi Huang, Zefang Wang, Yuanjun Chen, Junqi Ji, Yi Shen, Changqing Lin, Gaorui Liu   +6 more
doaj   +2 more sources

HPFNet: Hierarchical Perception Fusion Network for Infrared Small Target Detection

Remote Sensing
Infrared small target detection (IRSTD) is a fundamental task in remote sensing-based surveillance and early warning systems. However, extremely small target size, low signal-to-noise ratio, and complex background clutter make reliable detection highly ...
Mingjin Zhang, Yixiong Huang, Shuangquan Li   +2 more
doaj   +2 more sources

Multi-Scale Hierarchical Feature Fusion for Infrared Small-Target Detection

Remote Sensing
Detecting small targets in infrared images presents significant challenges due to their tiny size and complex backgrounds, making this task a hotspot for research.
Yue Wang, Xinhong Wang, Shi Qiu, Xianghui Chen, Zhaoyan Liu, Chuncheng Zhou, Weiyuan Yao, Hongjia Cheng, Yu Zhang, Feihong Wang, Zhan Shu   +10 more
doaj   +2 more sources

FADet: A Frequency-Aware Detection Framework for Infrared Small Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Infrared small target detection (IRSTD) remains a critical yet highly challenging task in the field of object detection. Due to the tiny target size and the absence of rich texture information, general-purpose detectors often suffer substantial ...
Dan Feng, Jian Xu, Ke Li, Zhi Ma, Wen Li, Di Wang   +5 more
doaj   +2 more sources

DSAD: Multi-Directional Contrast Spatial Attention-Driven Feature Distillation for Infrared Small Target Detection

Remote Sensing
Recent deep learning methods have achieved promising performance in infrared small target detection (IRSTD) but with high computational cost, limiting deployment or operation on resource-limited scenarios.
Yonghao Li, Boyang Li, Guoliang Zhang, Jun Chen, Siyi Deng, Hanxiao Zhang   +5 more
doaj   +2 more sources