Infrared Small Target Detection Based on the Weighted Strengthened Local Contrast Measure

By Jinhui Han, Saed Moradi, Iman Faramarzi, Honghui Zhang, Qian Zhao, Xiaojian Zhang, Nan Li. IEEE Geoscience and Remote Sensing Letters, 2020

411 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/82ada79077355c5c795f009bb26b66ee514ae425

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. Jie-Ru Guo
2. Yulan Guo
3. Chao Xiao
4. Longguang Wang
5. Miao Li
6. Rui Zhang
7. Jing Zhang
8. Boyang Li

In Electrical and Electronic Engineering

1. Jie-Ru Guo
2. Rui Zhang
3. Jing Zhang
4. Haicheng Bai
5. Mingjin Zhang
6. Wei An
7. Yuxiang Yang

Citations in the corpus

• Dense Nested Attention Network for Infrared Small Target Detection (2021, methodology): “[6], [9], local-contrast-based methods [10], [11], [12], [13],”
• ISNet: Shape Matters for Infrared Small Target Detection (2022, methodology): “Representative methods include HVS based methods, such as tri-layer local contrast measure (TLLCM) [4] and weighted strengthened local contrast measure (WSLCM) [12], filtering based methods [2, 9], as well as low-rank based methods, such as reweighted infrared patch-tensor (RIPT) [5], partial sum of”