The design of Top-Hat morphological filter and application to infrared target detection

By Ming Zeng, Jian-xun Li, Zhang-xiao Peng. 2006

374 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Atmospheric Science, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/0563324f1436b2ee6b6695652526f38a194cf278

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. Deyu Meng
2. Fugen Zhou
3. X. Bai
4. Yi Yang
5. Alexander G. Hauptmann
6. Yiquan Wu
7. Yimian Dai
8. Zhenming Peng

In Atmospheric Science

1. Fugen Zhou
2. X. Bai

In Electrical and Electronic Engineering

1. Deyu Meng
2. Fugen Zhou
3. X. Bai
4. Xiaofang Zhou
5. Yi Yang
6. Yimian Dai
7. Yiquan Wu
8. Zhenming Peng

Citations in the corpus

• Analysis of new top-hat transformation and the application for infrared dim small target detection (2010, methodology): “To find an appropriate structuring element for target detection, algorithms based on neural network and genetic algorithm are proposed [9].”
• Infrared Patch-Image Model for Small Target Detection in a Single Image (2013, methodology): “In [34], neural network and genetic algorithm were used to develop optimal TopHat filtering parameters.”