Awesome Infrared Small Targets

Table of Contents

• Background Suppression-Based Methods
• Human Visual System-Based Methods
• Optimization-Based Methods
  • Matrix: Single-Subspace
  • Matrix: Multi-Subspace
  • Tensor
• Deep Learning-Based Methods
• Datasets

Background Suppression-Based Methods

• Tophat, Morphology-based algorithm for point target detection in infrared backgrounds.

  • Tom V T, Peli T, Leung M, et al. Signal and Data Processing of Small Targets, 1993. International Society for Optics and Photonics, 1993.
  • 

• MaxMedian, Max-mean and max-median filters for detection of small targets.

  • Deshpande S D, Er M H, Venkateswarlu R, et al. Signal and Data Processing of Small Targets, 1999. International Society for Optics and Photonics, 1999.
  • 

• PFT, Spatio-temporal saliency detection using phase spectrum of Quaternion Fourier Transform.

  • Guo C, Ma Q, Zhang L. CVPR, 2008.
  • 

• LACM-LSK, Robust infrared small target detection using local steering kernel reconstruction.

  • Li Y, Zhang Y. Pattern Recognition, 2018.
  • 

• Infrared Small Target Detection by Density Peaks Searching and Maximum-Gray Region Growing.

  • Huang S, Peng Z, Wang Z, et al. TGRS Letters, 2019.
  • 

• Structure-Adaptive Clutter Suppression for Infrared Small Target Detection: Chain-Growth Filtering.

  • Huang S, Liu Y, He Y, et al. Remote Sensing, 2020.
  • 

Human Visual System-Based Methods

• LCM, A Local Contrast Method for Small Infrared Target Detection.

  • Chen C L P, Li H, Wei Y, et al. TGRS, 2013.
  • 

• ILCM, A Robust Infrared Small Target Detection Algorithm Based on Human Visual System.

  • Han J, Ma Y, Zhou B, et al. TGRS Letters, 2014.
  • 

• LSM, An Efficient Infrared Small Target Detection Method Based on Visual Contrast Mechanism.

  • Chen Y, Xin Y. TGRS Letters, 2016.
  • 

• WLDM, Small infrared target detection based on weighted local difference measure.

  • Deng H, Sun X, Liu M, et al. TGRS, 2016.
  • 

• IDoGb, An infrared small target detecting algorithm based on human visual system.

  • Han J, Ma Y, Huang J, et al. TGRS Letters, 2016.
  • 

• NLCM, Effective infrared small target detection utilizing a novel local contrast method.

  • Qin Y, Li B. TGRS Letters, 2016.
  • 

• MPCM, Multiscale patch-based contrast measure for small infrared target detection.

  • Wei Y, You X, Li H. Pattern Recognition, 2016.
  • 

• LDM, Entropy-based window selection for detecting dim and small infrared targets.

  • Deng H, Sun X, Liu M, et al. Pattern Recognition, 2017.
  • 

• DECM, Derivative entropy-based contrast measure for infrared small-target detection.

  • Bai X, Bi Y. TGRS, 2018.
  • 

• RLCM, Infrared small target detection utilizing the multiscale relative local contrast measure.

  • Han J, Liang K, Zhou B, et al. TGRS Letters, 2018.
  • 

• WMFD, Infrared small target detection based on flux density and direction diversity in gradient vector field.

  • Liu D, Cao L, Li Z, et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018.
  • 

• HB-MLCM, High-boost-based multiscale local contrast measure for infrared small target detection. TGRS Letters, 2017.

  • Shi Y, Wei Y, Yao H, et al.
  • 

• Infrared Small Target Detection Based on Derivative Dissimilarity Measure.

  • Cao X, Rong C, Bai X. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019.
  • 

Optimization-Based Methods

Matrix: Single-Subspace

• IPI, Infrared patch-image model for small target detection in a single image.

  • Gao C, Meng D, Yang Y, et al. TIP, 2013.
  • 

• NIPPS, Non-negative infrared patch-image model: Robust target-background separation via partial sum minimization of singular values.

  • Dai Y, Wu Y, Song Y, et al. Infrared Physics & Technology, 2017.
  • 

• TV-PCP, Infrared dim target detection based on total variation regularization and principal component pursuit.

  • Wang X, Peng Z, Kong D, et al. Image and Vision Computing, 2017.
  • 

• NRAM, Infrared small target detection via non-convex rank approximation minimization joint l2, 1 norm.

  • Zhang L, Peng L, Zhang T, et al. Remote Sensing, 2018.
  • 

• NOLC, Infrared small target detection based on non-convex optimization with Lp-norm constraint.

  • Zhang T, Wu H, Liu Y, et al. Remote Sensing, 2019.
  • 

Matrix: Multi-Subspace

• LRSR, Small infrared target detection based on low-rank and sparse representation.

  • He Y J, Li M, Zhang J L, et al. Infrared Physics & Technology, 2015.
  • 

• SMSL, Infrared dim and small target detection based on stable multisubspace learning in heterogeneous scene.

  • Wang X, Peng Z, Kong D, et al. TGRS, 2017.
  • 

• SRWS, Infrared small target detection via self-regularized weighted sparse model.

  • Zhang T, Peng Z, Wu H, et al. Neurocomputing, 2021.
  • 

Tensor

• RIPT, Reweighted infrared patch-tensor model with both nonlocal and local priors for single-frame small target detection.

  • Dai Y, Wu Y. [J]. IEEE journal of selected topics in applied earth observations and remote sensing, 2017.
  • 

• PSTNN, Infrared small target detection based on partial sum of the tensor nuclear norm.

  • Zhang L, Peng Z. Remote Sensing, 2019.
  • 

Deep Learning-Based Methods

• MDvsFA cGan, Miss detection vs. false alarm: Adversarial learning for small object segmentation in infrared images.

  • Wang H, Zhou L, Wang L. ICCV, 2019.
  • 

• ACM, Asymmetric contextual modulation for infrared small target detection.

  • Dai Y, Wu Y, Zhou F, et al. WACV, 2021.
  • 

Datasets

• MDFA, Miss detection vs. false alarm: Adversarial learning for small object segmentation in infrared images.

  • Wang H, Zhou L, Wang L. ICCV, 2019.
  • 

• SIRST, Asymmetric contextual modulation for infrared small target detection.

  • Dai Y, Wu Y, Zhou F, et al. WACV, 2021.
  • 

---

Note:

• represents offical code.
• represents reproduced code.