Ship detection in SAR imagery: A comparison study
| Autor: | Paolo Bianco, Raffaella Guida, Melanie Clift, Pasquale Iervolino, Jurgen Janoth, Andrea Minchella, Parivash Lumsdon |
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| Rok vydání: | 2017 |
| Předmět: |
Synthetic aperture radar
010504 meteorology & atmospheric sciences Channel (digital image) Computer science business.industry 0211 other engineering and technologies Pattern recognition 02 engineering and technology 01 natural sciences law.invention law Histogram Comparison study Clutter Artificial intelligence False alarm Radar business 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | IGARSS |
| Popis: | This paper presents a ship-detection study with Synthetic Aperture Radar (SAR) images acquired at two different frequencies: X- and C-band. The detection procedure relies on a novel algorithm based on the likelihood functions of both canonical ship target and sea clutter. Spaceborne images were acquired over the same area in the Solent Channel in UK at approximately the same time on the 7th June 2016. Here, datasets are compared in terms of probability of detection (PD), probability of false alarm (PFA) and Target-to-Clutter Ratio (TCR). Detection maps are validated with Automatic Identification System (AIS) data when available and preliminary results show a higher TCR for the X-band SAR image. |
| Databáze: | OpenAIRE |
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