Prescreening and discrimation of maritime targets in single-channel SAR images
| Autor: | Antonio Moccia, Maria Daniela Graziano, Alfredo Renga |
|---|---|
| Přispěvatelé: | Renga, Alfredo, Graziano, MARIA DANIELA, Moccia, Antonio |
| Rok vydání: | 2016 |
| Předmět: |
010504 meteorology & atmospheric sciences
Pixel Ship detection adaptive threshold sublook analysis azimuth ambiguity rejection Computer science business.industry media_common.quotation_subject 0211 other engineering and technologies 02 engineering and technology Ambiguity 01 natural sciences symbols.namesake symbols Clutter Entropy (information theory) Computer vision Artificial intelligence business Image resolution Doppler effect 021101 geological & geomatics engineering 0105 earth and related environmental sciences media_common |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss.2016.7730676 |
| Popis: | A targets detection algorithm is proposed for maritime surveillance by single-channel SAR images. It foresees a preliminary prescreening step, carried out using an adaptive threshold algorithm, followed by a discrimination phase, performed by sub-look analysis. The latter discriminates the pixels detected by the former step in three classes, i.e. targets, sea, and azimuth ambiguity. The algorithm is tested on single channel StripMap TerraSAR-X data. Results indicate that the selected algorithm shows promising detection performance and ambiguity rejection capabilities. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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