A Sea–Sky Line Detection Method Based on the RANSAC Algorithm in the Background of Infrared Sea–Land–Sky Images

Subgrade sea and sky monitoring equipment requires the accurate detection of threat targets in a given area. Due to the extremely complex sea–land–sky backgrounds, the sea–sky line is often submerged in the background. Therefore, we propose an algorithm for accurately detecting sea–sky lines under a...

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Vydáno v:Journal of Russian laser research Ročník 42; číslo 3; s. 318 - 327
Hlavní autoři: Song, Hongfei, Ren, Hongkai, Song, Yansong, Chang, Shuai, Zhao, Zhennan
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.05.2021
Springer Nature B.V
Témata:
Algorithms
Environmental monitoring
Infrared analysis
Infrared imagery
Lasers
Microwaves
Optical Devices
Optics
Photonics
Physics
Physics and Astronomy
Random sampling
RF and Optical Engineering
Segments
Target detection
sea–sky line detection
image segmentation
nonuniform segmentation
RANSAC algorithm
ISSN:1071-2836, 1573-8760
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Shrnutí:Subgrade sea and sky monitoring equipment requires the accurate detection of threat targets in a given area. Due to the extremely complex sea–land–sky backgrounds, the sea–sky line is often submerged in the background. Therefore, we propose an algorithm for accurately detecting sea–sky lines under a complex sea–land–sky background. Based on the analysis of infrared images with sea–land–sky backgrounds, we segment images using the k -means algorithm. To use the random sampling consistency (RANSAC) algorithm to fit the sea–sky line better, we divide the images into nonuniform segments and count the row mean-value gradient trough. The experimental results show that the sea–sky line can be detected in 1215 out of 1227 pictures. The test success rate is 99%, and the difference from the actual sea–sky line is less than 3 pixels. The method presented has higher adaptability under a subgrade sea and sky monitoring environment.
Bibliografie:ObjectType-Article-1
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ISSN:1071-2836
1573-8760
DOI:10.1007/s10946-021-09965-2