Research

### Overview Infrared small target detection is crucial for early warning systems, surveillance, and military applications. The challenges include: - **Low contrast**: Targets often have similar intensity to background - **Low SNR**: Severe noise in infrared imagery - **Complex scenes**: Cluttered backgrounds with various interference - **Real-time requirements**: Need for efficient algorithms ### Key Research Topics #### 1. Spatial-Temporal Tensor Modeling - Multi-frame patch-tensor decomposition for background suppression - Low-rank recovery methods for target enhancement - Block-matching techniques for motion consistency #### 2. Deep Learning Approaches - Coarse-to-fine detection architectures - Attention mechanisms for feature enhancement - Lightweight networks for real-time processing #### 3. Traditional Methods Enhancement - Vectorized guided filters for acceleration - Saliency detection with spatial-temporal constraints - Multi-scale analysis frameworks ### Representative Papers 1. **Infrared Dim and Small Target Detection from Complex Scenes via Multi-Frame Spatial–Temporal Patch-Tensor Model** Remote Sensing, 2022 | Cited: 38 2. **Method of Infrared Small Moving Target Detection Based on Coarse-to-Fine Structure in Complex Scenes** Remote Sensing, 2023 | Cited: 10 | [Code](https://github.com/Yoooohan/MCFS) 3. **A Spatial–Temporal Block-Matching Patch-Tensor Model for Infrared Small Moving Target Detection in Complex Scenes** Remote Sensing, 2023 | Cited: 9 4. **High-Speed Spatial–Temporal Saliency Model: A Novel Detection Method for Infrared Small Moving Targets Based on a Vectorized Guided Filter** Remote Sensing, 2024 | Cited: 2 5. **An Infrared Small Moving Target Detection Method in Complex Scenes Based on Dual-Region Search** Remote Sensing, 2025 | Cited: 2 ### Applications - Early warning systems - Infrared search and track (IRST) - Missile defense systems - Surveillance and reconnaissance

### Overview Satellite video tracking enables continuous monitoring of ground targets from space. The unique challenges include: - **Large scale variation**: Targets range from meters to kilometers - **Complex backgrounds**: Urban areas, vegetation, terrain variations - **Motion characteristics**: Different from conventional videos - **Real-time constraints**: Limited processing time per frame ### Key Research Topics #### 1. Feature Enhancement - Multi-level feature fusion architectures - Attention mechanisms for discriminative features - Context-aware feature extraction #### 2. Multi-Scale Matching - Hierarchical matching strategies - Scale-adaptive correlation filters - Pyramid-based search mechanisms #### 3. Fine-Grained Localization - Edge-aware tracking frameworks - Sub-pixel localization techniques - Geometric constraint integration ### Representative Papers 1. **Single Object Tracking in Satellite Videos Based on Feature Enhancement and Multi-Level Matching Strategy** Remote Sensing, 2023 | Cited: 14 2. **EHTracker: Towards Fine-Grained Localization for Satellite Video Target Tracking** IEEE JSTARS, 2024 | Cited: 5 ### Applications - Vehicle tracking in urban areas - Maritime vessel monitoring - Disaster response and management - Military surveillance

### Overview With the proliferation of consumer drones, anti-UAV systems have become critical for public safety and security. Our research focuses on: - **Small target characteristics**: UAVs appear as tiny objects in thermal imagery - **Fast motion**: Rapid maneuvering and sudden direction changes - **Occlusion handling**: Partial or complete occlusion by buildings/trees - **Similar object interference**: Birds, kites, and other flying objects ### Key Research Topics #### 1. Memory-Augmented Tracking - Long-term memory networks for appearance modeling - Contrastive learning for discrimination enhancement - Template update strategies for adaptation #### 2. Robust Feature Representation - Thermal-specific feature extraction - Multi-scale feature aggregation - Attention-guided feature selection #### 3. Complex Scene Handling - Dynamic background modeling - Illumination-invariant representations - Occlusion recovery mechanisms ### Representative Papers 1. **A Contrastive-Augmented Memory Network for Anti-UAV Tracking in TIR Videos** Remote Sensing, 2024 | Cited: 7 ### Applications - Airport security systems - Critical infrastructure protection - Public event security - Border surveillance