Results 61 to 70 of about 10,627,489 (123)

Fast infrared sea ship target detection based on improved BING algorithm

, 2017
The key to the target detection of infrared sea ship is real-time, fast and efficient detection of the real goal. The BING method, which introduces the binarization approximation calculation, can quickly detect target.
Li LX(李乐星), Shi ZL(史泽林), Liu YP(刘云鹏), Le xing Li, Zelin Shi, Yunpeng Liu   +5 more
core   +1 more source

PSHNet: Hybrid Supervision and Feature Enhancement for Accurate Infrared Small-Target Detection

Applied Sciences
Detecting small targets in infrared imagery remains highly challenging due to sub-pixel target sizes, low signal-to-noise ratios, and complex background clutter.
Weicong Chen, Chenghong Zhang, Yuan Liu
doaj   +1 more source

A Wide and Shallow Network Tailored for Infrared Small Target Detection

Remote Sensing
Designing lightweight yet competitive models remains a challenging problem across the computer vision community—Infrared Small Target Detection (IRSTD) is no exception.
Pengsen Lu, Yihan Luo, Xinyu Zhang, Haolong Jia, Shiye Xia, Yaqing Liu   +5 more
doaj   +1 more source

ARFHANet: Adaptive Receptive Field and Hierarchical Attention Network for Infrared Small-Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Infrared small-target detection is critical in both civilian and military applications. However, the limited texture and structural information in infrared images makes accurate detection particularly challenging.
Xingye Cui, Junhai Luo, Jiakun Deng, Kexuan Li, Xiangyu Qiu, Zhenming Peng   +5 more
doaj   +1 more source

GIDNet: Infrared Small Target Detection Network Based on Gradient-Intensity Decoupled

Remote Sensing
Infrared small target detection (IRSTD) plays a pivotal role in a comprehensive set of applications. Despite the extensive research alongside numerous algorithms proposed in recent years, IRSTD remains a formidable task, primarily stemming from the ...
Xianwei Gao, Jingtao Wu, Dafeng Cao, Haotian Xu, Yingjie Ma, Lu Li, Mingjing Zhao   +6 more
doaj   +1 more source

ILN-SSR: Improved Logarithmic Norm and Sparse Structure Refinement for Infrared Small Target Detection

Remote Sensing
The effective discrimination of targets from backgrounds in environments characterized by a low signal-to-clutter ratio (SCR) is paramount for the advancement of infrared small target detection (IRSTD).
Liqi Liu, Rongguo Zhang, Jian Mei, Xinyue Ni, Liyuan Li, Xiaofeng Su, Fansheng Chen   +6 more
doaj   +1 more source

HMCNet: A Hybrid Mamba–CNN UNet for Infrared Small Target Detection

Remote Sensing
Using infrared technology to accurately detect small weak targets is crucial in various fields, such as reconnaissance and security. However, the infrared detection of small weak targets is challenged by complex backgrounds, tiny target sizes, and low ...
Bolin Li, Peng Rao, Yueqi Su, Xin Chen
doaj   +1 more source

An Investigation of Infrared Small Target Detection by Using the SPT–YOLO Technique

Technologies
To detect and recognize small-size and submerged complex background targets in infrared images, we combine a dynamic receptive field fusion strategy and a multi-scale feature fusion mechanism to improve the detection performance of small targets ...
Yongjun Qi, Shaohua Yang, Zhengzheng Jia, Yuanmeng Song, Jie Zhu, Xin Liu, Hongxing Zheng   +6 more
doaj   +1 more source

Pyramid Target Perception Network with Efficient Context Modeling and Multi-Scale Cross-Attention for Infrared Small Target Detection

Infrared small target detection (IRSTD) is a challenging task in intelligent infrared sensing and electronic imaging systems, because dim targets often occupy only a few pixels and are easily disturbed by clutter, noise, and low-contrast background ...
Zhenke Wang, Hui Xu, Quan Wen, Xinlu Zong   +3 more
core   +1 more source

Image processing with the Naval Postgraduate School Infrared Search and Target Designation (NPS-IRSTD) System [PDF]

, 1992
An analysis of infrared background scenes generated by the Naval Postgraduate School Infrared Search and Target Designation (NPS-IRSTD) System, and captured with a DT-2861 frame grabber board, was conducted using a FORTRAN program developed to facilitate
Heiss, John C.
core