Results 1 to 10 of about 144 (101)

HDR-IRSTD: Detection-Driven HDR Infrared Image Enhancement and Small Target Detection Based on HDR Infrared Image Enhancement

Automation
Infrared small target detection has become a research hotspot in recent years. Due to the small target size and low contrast with the background, it remains a highly challenging task.
Fugui Guo, Pan Chen, Weiwei Zhao, Weichao Wang   +3 more
doaj   +4 more sources

MM-IRSTD: Conv Self-Attention-Based Multi-Modal Small and Dim Target Detection in Infrared Dual-Band Images

Remote Sensing
Infrared multi-band small and dim target detection is an important research direction in the fields of modern remote sensing and military surveillance. However, achieving high-precision detection remains challenging due to the small scale, low contrast ...
Junyan Yang, Zhihui Ye, Jian Lin, Dongfang Chen, Lingbian Du, Shaoyi Li   +5 more
doaj   +4 more sources

ADA-IRSTD: Active Domain Adaptation for Cross-Domain Infrared Small Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Infrared small target detection (IRSTD) is critical for applications, such as surveillance and counter-uncrewed aerial vehicle early warning. However, existing methods often suffer from limited sample sizes and limited scene diversity, leading to domain ...
Ke Li, Fujun Han, Yining Wang, Kewen Huang, Yan Tian   +4 more
doaj   +2 more sources

Cross-Frequency Context-Guided Mamba Network for Infrared Small Target Detection [PDF]

Sensors
Infrared small target detection remains challenging because small targets, cloud edges, sea reflections, building heat sources, and sensor noise often share similar high-frequency responses.
Hongxin Li, Nan Li, Lin Tian
doaj   +2 more sources

A Wavelet-Recalibrated Semi-Supervised Network for Infrared Small Target Detection Under Data Scarcity [PDF]

Sensors
Infrared small target detection has long faced significant challenges due to the extremely small size of targets, low contrast, and the scarcity of annotated data. To tackle these issues, we propose a wavelet-recalibrated semi-supervised network (WRSSNet)
Cheng Jiang, Jingwen Ma, Xinpeng Zhang, Chiming Tong, Zhongqi Ma, Yongshi Jie   +5 more
doaj   +2 more sources

Mitigate Target-Level Insensitivity of Infrared Small Target Detection via Posterior Distribution Modeling

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Infrared small target detection (IRSTD) aims to segment small targets from infrared clutter background. Existing methods mainly focus on discriminative approaches, i.e., a pixel-level front-background binary segmentation. Since infrared small targets are
Haoqing Li, Jinfu Yang, Yifei Xu, Runshi Wang   +3 more
doaj   +3 more sources

Infrared Small Target Detection Based on a Temporally-Aware Fully Convolutional Neural Network

Remote Sensing, 2023
In the field of computer vision, the detection of infrared small targets (IRSTD) is a crucial research area that plays an important role in space exploration, infrared warning systems, and other applications. However, the existing IRSTD methods are prone
Lei Zhang, Peng Han, Jiahua Xi, Zhengrong Zuo   +3 more
doaj   +1 more source

Thermodynamics-Inspired Multi-Feature Network for Infrared Small Target Detection

Remote Sensing, 2023
Infrared small target detection (IRSTD) is widely used in many fields such as detection and guidance systems and is of great research importance. However, small targets in infrared images are typically small, blurry, feature-poor, and prone to being ...
Mingjin Zhang, Handi Yang, Ke Yue, Xiaoyu Zhang, Yuqi Zhu, Yunsong Li   +5 more
doaj   +1 more source

Stable Isotopes of Water Vapor in the Vadose Zone: A Review of Measurement and Modeling Techniques

Vadose Zone Journal, Volume 11, Issue 3, August 2012., 2012
The stable isotopes of soil water vapor are useful tracers of hydrologic processes occurring in the vadose zone. The measurement of soil water vapor isotopic composition (δ18O, δ2H) is challenging due to difficulties inherent in sampling the vadose zone airspace in situ. Historically, these parameters have therefore been modeled, as opposed to directly
Keir Soderberg, Stephen P. Good, Lixin Wang, Kelly Caylor   +3 more
wiley   +1 more source

Sample-Adaptive Infrared Small Target Detection via Dynamic Path Inference With Early Exit and Deep Reinforcement Learning

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Infrared small target detection aims to identify small and often background-similar targets in infrared imagery, and it plays a vital role in applications, such as military surveillance, autonomous driving, and security monitoring.
Jiang Liu, Qi Xiong, Shiheng Fang, Yingzhuo Du, Jia Liu, Bingwei Hui, Shaohua Qiu, Yongjian Sun   +7 more
doaj   +1 more source