In this study, data obtained from near-range radar responses collected by an X-band noise radar targeting small aerial objects such as drones and seagulls have been analyzed for the purpose of target discrimination. T...
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ISBN:
(纸本)9798350388978;9798350388961
In this study, data obtained from near-range radar responses collected by an X-band noise radar targeting small aerial objects such as drones and seagulls have been analyzed for the purpose of target discrimination. The research aims to identify distinctive features in terms of range, speed, and micro-Doppler signatures of small air targets using a noise radar operating at the same frequency as maritime ship radars. This approach has not only facilitated the detection of small air targets with low Radar Cross Section (RCS) but also contributed additional information for classifying these targets. Considering that the noise radar used during the measurements possesses characteristics typical of a marine radar, this work has effectively demonstrated the extraction of micro-Doppler signatures of drones and seagulls performing various maneuvers in a maritime environment.
targets on the sea surface are of great concern, especially the classification of smalltargets, which is crucial for marine safety. Therefore, we propose a machine learning classifier for marine radar smalltargets b...
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This paper presents a novel mid-wave infrared (MWIR) small target detection dataset (MWIRSTD) comprising 14 video sequences containing approximately 1053 images with annotated targets of three distinct classes of smal...
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ISBN:
(纸本)9798350349405;9798350349399
This paper presents a novel mid-wave infrared (MWIR) small target detection dataset (MWIRSTD) comprising 14 video sequences containing approximately 1053 images with annotated targets of three distinct classes of small objects. Captured using cooled MWIR imagers, the dataset offers a unique opportunity for researchers to develop and evaluate state-of-the-art methods for small object detection in realistic MWIR scenes. Unlike existing datasets, which primarily consist of uncooled thermal images or synthetic data with targets super-imposed onto the background or vice versa, MWIRSTD provides authentic MWIR data with diverse targets and environments. Extensive experiments on various traditional methods and deep learning-based techniques for small target detection are performed on the proposed dataset, providing valuable insights into their efficacy. The dataset and code are available at https://***/avinres/MWIRSTD.
smalltargets in infrared imagery exhibit challenging characteristics due to their minimal semantic information and the extremely imbalanced distribution between the targets and the background. In this paper, we propo...
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Infrared smalltargets often exhibit small scale and weak semantic features, which makes it a great challenge to their detection. To address this situation, we propose a novel network for infrared small target detecti...
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ISBN:
(纸本)9798350344868;9798350344851
Infrared smalltargets often exhibit small scale and weak semantic features, which makes it a great challenge to their detection. To address this situation, we propose a novel network for infrared small target detection that combines local details information and global contextual information. To preserve the local and high-frequency details present in infrared images, we introduce a High-frequency Aware Encoder. To extract contextual information from multi-scale feature maps, we propose a Multi-scale Context Learning Bottleneck that incorporates contextual information repeatedly and performs cross-level fusion, which enables the recognition of smalltargets based on their surroundings. Finally, a lightweight Transformer Decoder is employed to restore the feature map, while placing attention on the target pixels. Experimental results on the IRSTD-1k dataset demonstrate that our method outperforms other state-of-the-art approaches.
To address the issues of imbalanced target distribution within the dataset and the deficiency of high-level semantic information in the lower-level feature maps for small target detection, this paper proposes a small ...
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Infrared target detection is currently widely used in both military and civilian fields. Due to the lower resolution of infrared images compared to visible light images and the lack of texture information in small tar...
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Tracking smalltargets on the sea surface has always been a challenging issue in the field of maritime target monitoring. Traditional methods typically rely on specific dynamic equations to establish the motion state ...
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In the context of detecting low-flying smalltargets in urban high-rise environments, the targets are often obscured by large clutter reflectors or non-uniform clutter regions. This paper proposes a cascaded filtering...
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Target detection methods based on multidimensional features are often applied to the detection of smalltargets in sea clutter. However, existing algorithms do not fully utilize the correlation information between fea...
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