# Infrared Target Detection Methodologies

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/infrared-target-detection-methodologies/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the detection and tracking of small infrared targets, utilizing methods such as contrast measures, nonuniformity correction, visual attention, sparse representation, and background separation. The research aims to enhance the detectability of small targets in complex backgrounds and improve the accuracy of target acquisition in infrared imagery. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | t12389 |
| Works | 37 |

## Topic papers all

Showing 15 of 37.

- [Dense Nested Attention Network for Infrared Small Target Detection](https://scholariq.org/papers/dense-nested-attention-network-for-infrared-small-target-detection/)
- [Whale Optimization Algorithm and Moth-Flame Optimization for multilevel thresholding image segmentation](https://scholariq.org/papers/whale-optimization-algorithm-and-moth-flame-optimization-for-multilevel/)
- [The Seventh Visual Object Tracking VOT2019 Challenge Results](https://scholariq.org/papers/the-seventh-visual-object-tracking-vot2019-challenge-results/)
- [MTU-Net: Multilevel TransUNet for Space-Based Infrared Tiny Ship Detection](https://scholariq.org/papers/mtu-net-multilevel-transunet-for-space-based-infrared-tiny-ship-detection/)
- [Counter-Unmanned Aircraft System(s) (C-UAS): State of the Art, Challenges, and Future Trends](https://scholariq.org/papers/counter-unmanned-aircraft-system-s-c-uas-state-of-the-art-challenges-and-future/)
- [Infrared and Visible Image Fusion Technology and Application: A Review](https://scholariq.org/papers/infrared-and-visible-image-fusion-technology-and-application-a-review/)
- [LNIFT: Locally Normalized Image for Rotation Invariant Multimodal Feature Matching](https://scholariq.org/papers/lnift-locally-normalized-image-for-rotation-invariant-multimodal-feature/)
- [Optimum spectrum mask based medical image fusion using Gray Wolf Optimization](https://scholariq.org/papers/optimum-spectrum-mask-based-medical-image-fusion-using-gray-wolf-optimization/)
- [Modality Fusion Vision Transformer for Hyperspectral and LiDAR Data Collaborative Classification](https://scholariq.org/papers/modality-fusion-vision-transformer-for-hyperspectral-and-lidar-data/)
- [Chroma variations and perceived quality of color images of natural scenes](https://scholariq.org/papers/chroma-variations-and-perceived-quality-of-color-images-of-natural-scenes/)
- [Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling](https://scholariq.org/papers/predicting-the-depth-of-penetration-and-weld-bead-width-from-the-infra-red/)
- [YOLO-ViT-Based Method for Unmanned Aerial Vehicle Infrared Vehicle Target Detection](https://scholariq.org/papers/yolo-vit-based-method-for-unmanned-aerial-vehicle-infrared-vehicle-target/)
- [Infrared Small Target Detection by Density Peaks Searching and Maximum-Gray Region Growing](https://scholariq.org/papers/infrared-small-target-detection-by-density-peaks-searching-and-maximum-gray/)
- [Real-Time Algorithm for Simultaneous Vehicle Detection and Tracking in Aerial View Videos](https://scholariq.org/papers/real-time-algorithm-for-simultaneous-vehicle-detection-and-tracking-in-aerial/)
- [Visual Attention-Based Target Detection and Discrimination for High-Resolution SAR Images in Complex Scenes](https://scholariq.org/papers/visual-attention-based-target-detection-and-discrimination-for-high-resolution/)

## Topic primary papers

- [Dense Nested Attention Network for Infrared Small Target Detection](https://scholariq.org/papers/dense-nested-attention-network-for-infrared-small-target-detection/)
- [MTU-Net: Multilevel TransUNet for Space-Based Infrared Tiny Ship Detection](https://scholariq.org/papers/mtu-net-multilevel-transunet-for-space-based-infrared-tiny-ship-detection/)
- [YOLO-ViT-Based Method for Unmanned Aerial Vehicle Infrared Vehicle Target Detection](https://scholariq.org/papers/yolo-vit-based-method-for-unmanned-aerial-vehicle-infrared-vehicle-target/)
- [Infrared Small Target Detection by Density Peaks Searching and Maximum-Gray Region Growing](https://scholariq.org/papers/infrared-small-target-detection-by-density-peaks-searching-and-maximum-gray/)
- [Highly efficient supersonic small infrared target detection using temporal contrast filter](https://scholariq.org/papers/highly-efficient-supersonic-small-infrared-target-detection-using-temporal/)
- [ARBFPN-YOLOv8: auxiliary reversible bidirectional feature pyramid network for UAV small target detection](https://scholariq.org/papers/arbfpn-yolov8-auxiliary-reversible-bidirectional-feature-pyramid-network-for-uav/)
- [Comparative Analysis Between Recurrent Convolutional and Convolutional Neural Networks for Horizon Detection](https://scholariq.org/papers/comparative-analysis-between-recurrent-convolutional-and-convolutional-neural/)
- [Multimodal features based classification of aerial non-cooperative targets using machine learning](https://scholariq.org/papers/multimodal-features-based-classification-of-aerial-non-cooperative-targets-using/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.