Cargando…
Robust Ground Target Detection by SAR and IR Sensor Fusion Using Adaboost-Based Feature Selection
Long-range ground targets are difficult to detect in a noisy cluttered environment using either synthetic aperture radar (SAR) images or infrared (IR) images. SAR-based detectors can provide a high detection rate with a high false alarm rate to background scatter noise. IR-based approaches can detec...
Autores principales: | Kim, Sungho, Song, Woo-Jin, Kim, So-Hyun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970160/ https://www.ncbi.nlm.nih.gov/pubmed/27447635 http://dx.doi.org/10.3390/s16071117 |
Ejemplares similares
-
A Video Based Fire Smoke Detection Using Robust AdaBoost
por: Wu, Xuehui, et al.
Publicado: (2018) -
Mitosis detection using generic features and an ensemble of cascade adaboosts
por: Tek, F. Boray
Publicado: (2013) -
Obscenity Detection Using Haar-Like Features and Gentle Adaboost Classifier
por: Mustafa, Rashed, et al.
Publicado: (2014) -
Robust Grape Cluster Detection in a Vineyard by Combining the AdaBoost Framework and Multiple Color Components
por: Luo, Lufeng, et al.
Publicado: (2016) -
Chagas Parasite Detection in Blood Images Using AdaBoost
por: Uc-Cetina, Víctor, et al.
Publicado: (2015)