A long-term target detection approach in infrared image sequence

2015 ◽  
Author(s):  
Hang Li ◽  
Qi Zhang ◽  
Yuanyuan Li ◽  
Liqiang Wang
Keyword(s):  
Target Detection ◽  
Infrared Image ◽  
Image Sequence ◽  
Detection Approach ◽  
Infrared Image Sequence

scholarly journals Day and Night Clouds Detection Using a Thermal-Infrared All-Sky-View Camera

2021 ◽  
Vol 13 (9) ◽  
pp. 1852
Author(s):  
Yiren Wang ◽  
Dong Liu ◽  
Wanyi Xie ◽  
Ming Yang ◽  
Zhenyu Gao ◽  
...  
Keyword(s):  
Infrared Image ◽  
Thermal Infrared ◽  
Field Of View ◽  
Detection Scheme ◽  
Detection Approach ◽  
Cloud Characteristics ◽  
Formation And Evolution ◽  
Fish Eye ◽  
Infrared Channel

The formation and evolution of clouds are associated with their thermodynamical and microphysical progress. Previous studies have been conducted to collect images using ground-based cloud observation equipment to provide important cloud characteristics information. However, most of this equipment cannot perform continuous observations during the day and night, and their field of view (FOV) is also limited. To address these issues, this work proposes a day and night clouds detection approach integrated into a self-made thermal-infrared (TIR) all-sky-view camera. The TIR camera consists of a high-resolution thermal microbolometer array and a fish-eye lens with a FOV larger than 160°. In addition, a detection scheme was designed to directly subtract the contamination of the atmospheric TIR emission from the entire infrared image of such a large FOV, which was used for cloud recognition. The performance of this scheme was validated by comparing the cloud fractions retrieved from the infrared channel with those from the visible channel and manual observation. The results indicated that the current instrument could obtain accurate cloud fraction from the observed infrared image, and the TIR all-sky-view camera developed in this work exhibits good feasibility for long-term and continuous cloud observation.

Application of trust region method in infrared image sequence processing

2020 ◽  
Vol 49 (7) ◽  
pp. 20190505
Author(s):  
万李涛 Litao Wan ◽  
熊楠菲 Nanfei Xiong ◽  
王栋 Dong Wang ◽  
汪子君 Zijun Wang
Keyword(s):  
Trust Region Method ◽  
Infrared Image ◽  
Trust Region ◽  
Image Sequence ◽  
Sequence Processing ◽  
Region Method ◽  
Image Sequence Processing ◽  
Infrared Image Sequence

An efficient approach to extraction ROI from infrared image sequence

2009 ◽  
Author(s):  
Qing-hua Chen ◽  
Xiao-fang Xie ◽  
Tian-jie Guo ◽  
Sheng-zhi Yuan
Keyword(s):  
Infrared Image ◽  
Image Sequence ◽  
Efficient Approach ◽  
Infrared Image Sequence
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