Validation and acceptance of synthetic infrared imagery

Smith, Moira I.; Bernhardt, Mark; Angell, Christopher R.; Hickman, Duncan L.; Whitehead, Philip G.

doi:10.1117/12.542323

Cited by 2 publications

(2 citation statements)

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“…Benzer bir yaklaşım çalışma [10]'da, sentetik kızılötesi imgelerin geçerlenmesi ve kabul edilmesinde kullanılmıştır. Sadece deniz arkaplanı, arkaplan ve platform içeren imgelerdeki karşılaştırma sonuçları Ş ekil 1'de verilmektedir.…”

Section: Sentetik Kızılötesii̇mgelerin Oluşturulmasiunclassified

“…Hedef izlemenin yanında gerçekleştirilen algoritma, kızılötesi imgeyi deniz arkaplan, gökyüzü ve hedef olarak başarılı şekilde bölütlemekte, bu yüzden ileri sürülen yöntemin kızılötesi imge analizinde başarılı şekilde kullanılabilecegi degerlendirilmektedir. Ayrıca, oluşturulan sentetik imgelerde farklı atmosferik koşulları, deniz yüzeyi yansımalarını ve farklı deniz platformu modellerini çalışma [10]'dakine benzer bir yaklaşımla geçerleyerek ve algılayıcı etkilerini de modelleyerek senaryo tabanlı performans analizinin genişletilmesi planlanmaktadır.…”

Section: Sonuçlarunclassified

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Development of a target tracking algorithm for imaging infrared seekers

Aytaç

Bekmen

2008

2008 IEEE 16th Signal Processing, Communication and Applications Conference

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Section: Sentetik Kızılötesii̇mgelerin Oluşturulmasiunclassified

Section: Sonuçlarunclassified

Development of a target tracking algorithm for imaging infrared seekers

Aytaç

Bekmen

2008

2008 IEEE 16th Signal Processing, Communication and Applications Conference

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Detection and tracking of sea-surface targets in infrared and visual band videos using the bag-of-features technique with scale-invariant feature transform

2011

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Sea-surface targets are automatically detected and tracked using the bag-of-features (BOF) technique with the scale-invariant feature transform (SIFT) in infrared (IR) and visual (VIS) band videos. Features corresponding to the sea-surface targets and background are first clustered using a training set offline, and these features are then used for online target detection using the BOF technique. The features corresponding to the targets are matched to those in the subsequent frame for target tracking purposes with a set of heuristic rules. Tracking performance is compared with an optical-flow-based method with respect to the ground truth target positions for different real IR and VIS band videos and synthetic IR videos. Scenarios are composed of videos recorded/generated at different times of day, containing single and multiple targets located at different ranges and orientations. The experimental results show that sea-surface targets can be detected and tracked with plausible accuracies by using the BOF technique with the SIFT in both IR and VIS band videos.

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Validation and acceptance of synthetic infrared imagery

Cited by 2 publications

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Development of a target tracking algorithm for imaging infrared seekers

Development of a target tracking algorithm for imaging infrared seekers

Detection and tracking of sea-surface targets in infrared and visual band videos using the bag-of-features technique with scale-invariant feature transform

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