|Appears in Collections:||Biological and Environmental Sciences Conference Papers and Proceedings|
|Title:||SAR Ship Detection for Rough Sea Conditions|
|Citation:||Iervolino P, Guida R, Amitrano D & Marino A (2019) SAR Ship Detection for Rough Sea Conditions. In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium Proceedings. IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 28.07.2019-02.08.2019. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/igarss.2019.8900332|
|Conference Name:||IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium|
|Conference Dates:||2019-07-28 - 2019-08-02|
|Conference Location:||Yokohama, Japan|
|Abstract:||In the Synthetic Aperture Radar (SAR) framework many detection algorithms and techniques have been published in the recent literature; however the detection of vessels whose dimensions are in the order of the image spatial resolution is still challenging in rough sea state scenarios. This issue is addressed in the paper presented here by comparing rationale and performance of two detectors developed by the same authors: the Generalized Likelihood Ratio Test (GLRT) and the Intensity Dual-Polarization Ratio Anomaly Detector (iDPolRAD). Both detectors are tested on a dual-polarization VV/VH Interferometric Wide Swath Sentinel-1 image acquired over the Suruga Bay on the Pacific Coast of Japan. The theory is presented here and the two detectors are compared against the Cell Average-Constant False Alarm Algorithm (CA-CFAR) showing both better performance than CFAR in terms of false alarms rejection.|
|Status:||AM - Accepted Manuscript|
|Rights:||© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|SAR SHIP DETECTION FOR ROUGH SEA CONDITIONS.pdf||Fulltext - Accepted Version||511.57 kB||Adobe PDF||View/Open|
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact email@example.com providing details and we will remove the Work from public display in STORRE and investigate your claim.