Vessel Target Detection Method Based on an Improved CFAR Method in Nighttime Remote Sensing Images

The Visible Infrared Imaging Radiometer Suite (VIIRS) day/night band (DNB) data are very sensitive to low radiation and capable of detecting faint light sources emitted by vessels at night. Existing vessel detection methods are mainly based on pixel statistical feature estimation or manual experienc...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2024, Vol.62, p.1-13
Hauptverfasser:	Zhao, Zheng, Qiu, Shi, Zhang, Yu, Yao, Weiyuan, Liu, Zhaoyan, Wang, Xinhong, Shu, Zhan, Wang, Feihong, Cheng, Hongjia, Zhang, Yibo, Guo, Xiqing, Li, Dacheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Atmospheric modeling Brightness Constant false alarm rate Constant false alarm rate (CFAR) Datasets Feature extraction Imaging radiometers Infrared imagery Infrared imaging Infrared radiometers Light sources low-light remote sensing Night Noise Radiometers Radiometry Recall Remote sensing Satellite broadcasting Statistical analysis Statistical methods Statistical models Target detection vessel detection Vessels Visible Infrared Imaging Radiometer Suite (VIIRS) day/night band (DNB)
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