A Local Contrast Method for Infrared Small-Target Detection Utilizing a Tri-Layer Window

Han, Jinhui; Moradi, Saed; Faramarzi, Iman; Liu, Chengyin; Zhang, Honghui; Zhao, Qian

doi:10.1109/lgrs.2019.2954578

articleIEEE Geoscience and Remote Sensing LettersDec 4, 2019Closed access

A Local Contrast Method for Infrared Small-Target Detection Utilizing a Tri-Layer Window

JHJinhui Han SMSaed Moradi IFIman Faramarzi CLChengyin Liu HZHonghui Zhang

Zhoukou Normal University · University of Isfahan · +2 more institutions

Indexed incrossref

Abstract

Local contrast has been proved efficient for infrared (IR) small-target detection. However, current algorithms do not enhance true target purposefully before local contrast calculation and may easily be disturbed by noises. In this letter, a new detection framework named multiscale tri-layer local contrast measure (TLLCM) is proposed. First, a tri-layer filtering window is proposed, and it consists of a core layer, a reserve layer, and a surrounding layer. The idea of a matched filter is adopted, and a Gaussian filtering will be performed on the core layer to enhance true target purposefully according to the target shape. Then, the multiscale TLLCM of the central pixel of the window will be calculated between…

Citation impact

450

total citations

FWCI: 130.50
Percentile: 100%
References: 26

Citations per year

Authors

6

Topics & keywords

Topics

Keywords

Contrast (vision)
Window (computing)
Layer (electronics)
Computer science
Core (optical fiber)
Filter (signal processing)
Gaussian
Artificial intelligence

No related works found for this paper.