Infrared Small Target Detection Algorithm Using an Augmented Intensity and Density-Based Clustering
Author:
Affiliation:
1. Department of Aerospace Engineering and the Automation and Systems Research Institute, Seoul National University, Seoul, South Korea
Funder
Defense Acquisition Program Administration
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10124147.pdf?arnumber=10124147
Reference34 articles.
1. Tiny and Dim Infrared Target Detection Based on Weighted Local Contrast
2. High-Boost-Based Multiscale Local Contrast Measure for Infrared Small Target Detection
3. UNet++: A Nested U-Net Architecture for Medical Image Segmentation
4. Scale invariant small target detection by optimizing signal-to-clutter ratio in heterogeneous background for infrared search and track
5. A Local Contrast Method for Small Infrared Target Detection
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2. Infrared Small Target Detection Based on Monogenic Signal Decomposition;IEEE Transactions on Geoscience and Remote Sensing;2024
3. Diffusion-Based Continuous Feature Representation for Infrared Small-Dim Target Detection;IEEE Transactions on Geoscience and Remote Sensing;2024
4. Separable Spatial–Temporal Patch-Tensor Pair Completion for Infrared Small Target Detection;IEEE Transactions on Geoscience and Remote Sensing;2024
5. Hybrid Network Based on Hierarchical Multipatch Feature Encoder for Infrared Small Target Detection;IEEE Geoscience and Remote Sensing Letters;2024
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