Anomaly Detection and Target Recognition With Hyperspectral Images
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Tarih
2014
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, a new method that can perform anomaly detection and target recognition gradually with hyperspectral images (HSI) is introduced. This study constitutes the lower step a system that can process the HSI obtained by unmanned aerial vehicle (UAV) quickly and can enable the anomaly detection and target recognition process done in the mission time of UAV. In the proposed model, firstly the unusual pixels in the HSI data are detected, and then it is investigated whether these pixels are belonging to a target defined. These two phases in the model are carried out using artificial neural network that is a technique of the artificial intelligence. In the model, Parallel programming methods that run with CUDA platform on the GPU are proposed for the processing power requirement resulting from size of HSI.
Açıklama
22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEY
Anahtar Kelimeler
Hyperspectral, GPU, CUDA, ANN, Anomaly detection, terget reconition
Kaynak
2014 22nd Signal Processing and Communications Applications Conference (Siu)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
