Results 31 to 40 of about 10,627,489 (123)

MIRSAM: multimodal vision-language segment anything model for infrared small target detection

Visual Intelligence
Infrared small target detection (IRSTD) plays a crucial role in applications such as traffic monitoring systems and maritime rescue. However, existing IRSTD methods face challenges due to their reliance on a single type of data, making them susceptible ...
Mingjin Zhang, Qian Xu, Yuchun Wang, Xi Li, Haojuan Yuan   +4 more
doaj   +1 more source

RRCANet: Recurrent Reusable-Convolution Attention Network for Infrared Small Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Infrared small target detection is a challenging task due to its unique characteristics (e.g., small, dim, shapeless, and changeable). Recently published CNN-based methods have achieved promising performance with heavy feature extraction and fusion ...
Yongxian Liu, Boyang Li, Ting Liu, Zaiping Lin, Wei An   +4 more
doaj   +1 more source

CHFNet: Curvature Half-Level Fusion Network for Single-Frame Infrared Small Target Detection

Remote Sensing, 2023
Single-frame infrared small target detection (IRSTD) aims to extract targets from background clutter and distinguish them from noise. In recent years, semantic segmentation deep learning methods such as CNNs have made many breakthroughs in the field of ...
Mingjin Zhang, Bate Li, Tianyu Wang, Haichen Bai, Ke Yue, Yunsong Li   +5 more
doaj   +1 more source

CN-UNet: ConvNeXt UNet With Slicing-Aided Hyper Segmentation for Infrared Small Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Infrared small target detection (IRSTD) has been a long challenging task in infrared detection technology due to the inherently low contrast and absence of discernible texture in such targets.
Lingxiao Li, Linlin Liu, Fuhao Cheng, Yunan He, Zhuqiang Zhong   +4 more
doaj   +1 more source

DCFNet: Dual-Domain Collaborative Focusing Network for Infrared Small Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
To address the challenges of low target contrast, large scale variations, and insufficient spatial-frequency information utilization in complex backgrounds for infrared small target detection (IRSTD), this article proposes a novel dual-domain ...
Wen Hu, Wenqing Bao, Peng Wang, Bin Li, Daiyin Zhu   +4 more
doaj   +1 more source

Refining False Detections: An Efficient Network Focused on Error-Prone Regions in Infrared Small Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Deeplearning-based methods have achieved remarkable performance in infrared small target detection (IRSTD). However, existing approaches have not fully captured the intrinsic characteristics of this task.
Weilin Du, Yi Hu, Sen Zhang, Xiupeng Yuan, Yuan Liu   +4 more
doaj   +1 more source

Small target detection in infrared image using convolutional neural networks

, 2017
Infrared small target detection is an important research topic in the field of infrared image processing and has a major impact on applications in areas such as remote sensing, infrared imaging precise. Due to atmospheric scattering, refraction and the
Qin, Hanlin, Wang, Wanting, Huixin ZHOU, Wenxiong CHENG, Hanbing LENG, WanTing Wang, Hanlin QIN, Wang, Chunmei, Leng, Hanbing, Qin, Hanlin (hlqin@mail.xidian.edu.cn), Zhou, Huixin, Chunmei WANG, Cheng, Wenxiong   +12 more
core   +1 more source

SCDE-Net: Strip-Context and Dilation-Enhanced Deep Unfolding Network for Infrared Small Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Deep unfolding networks (DUNs) hold great potential for infrared small target detection (IRSTD) by embedding the domain prior of target-background separation into interpretable multistage architectures.
Mengmeng Zhang, Dan DU, Hongyuan Jing, Huihui Bai   +3 more
doaj   +1 more source

Low-Level Matters: An Efficient Hybrid Architecture for Robust Multiframe Infrared Small Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Multiframe infrared small target detection (IRSTD) plays a crucial role in low-altitude and maritime surveillance. The hybrid architecture combining CNNs and Transformers shows great promise for enhancing multiframe IRSTD performance. In this article, we
Zhihua Shen, Siyang Chen, tongsuo zhang, Han Wang, Zhixiang Zhang, Rui Ji, Xuyang Li, Xiaohu Zhang, Xia Yang   +8 more
doaj   +1 more source

Enhancing Infrared Small Target Detection: A Saliency-Guided Multi-Task Learning Approach [PDF]

Object detection in infrared images poses a considerable challenge due to its small-scale targets, low contrast and poor signal-to-clutter ratio, often resulting in a high false alarm rate.
He, Junran, Liu, Zhaoying, Zhang, Ting, Sun, Changming, Zhang, Yuxiang, Saraee, Mohamad, Rehman, Sadaqat ur   +6 more
core   +1 more source