Infrared Small Target Detection Utilizing the Multiscale Relative Local Contrast Measure

By Jinhui Han, Kun Liang, Bo Zhou, Xinying Zhu, Jie Zhao, Linlin Zhao. IEEE Geoscience and Remote Sensing Letters, 2018

450 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/3d7745a1baada0e7d928b69ca30622e4b06f5708

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Zhenming Peng
2. Landan Zhang
3. Jinhui Han

In Electrical and Electronic Engineering

1. Zhenming Peng
2. Landan Zhang

In Mechanics of Materials

1. Zhenming Peng

Citations in the corpus

• A Local Contrast Method for Infrared Small-Target Detection Utilizing a Tri-Layer Window (2020, methodology): “There have been many definitions of local contrast by now, which can be roughly divided into the ratio-form and the difference-form [17].”
• Infrared Small Target Detection Based on Partial Sum of the Tensor Nuclear Norm (2019, methodology): “71] σ = MPCM [31] 3,5,7,9 N = , mean filter size: 3×3 RLCM [19] 1 2 ( , ) (2, 4) K K = , (5,9) , and (9,16) IPI [20] Patch size: 50×50, sliding step: 10, 1/ min( , ) m n λ = , 7 10 ε − = NIPPS [21] Patch size: 50×50, sliding step: 10, 2 / min( , ) m n λ = , 7 10 ε − = ReWIPI [38] Patch size: 50×50, ”