The Information Consistency Between Full- and Improved Dual-Polarimetric Mode SAR for Multiscenario Oil Spill Detection.

Guannan Li, Gaohuan Lv, Tong Wang, Xiang Wang, Fen Zhao

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Oil Spill Detection Performance in a Multitype Polarimetric-Feature Space Using a Polarimetric Synthetic Aperture Radar: A Comparative Analysis.Sensors (Basel, Switzerland) · 2026
Article

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Guannan LiUlsan Ship and Ocean College, Ludong University, Yantai 264025, China.

Gaohuan LvUlsan Ship and Ocean College, Ludong University, Yantai 264025, China.

Tong WangCollege of Computing and Data Science, Nanyang Technological University, Singapore 639978, Singapore.ORCID 0000-0002-6287-9239

Xiang WangOcean Remote Sensing Division, National Marine Environmental Monitoring Center, Dalian 116026, China.ORCID 0000-0001-5433-9905

Fen ZhaoSchool of Resources and Environmental Engineering, Ludong University, Yantai 264025, China.

Funding

National Natural Science Foundation of China No. 42201046Youth Innovation Team Program" of Shandong Provincial Higher Education Institutions 2024KJG061

6 · The paper itself

Abstract

Detecting marine oil spills is vital for protecting the marine environment, ensuring maritime traffic safety, supporting marine development, and enabling effective emergency response. The dual-polarimetric (DP) synthetic aperture radar (SAR) system represents an evolution from single to full polarization (FP), which has become an essential tool for oil spill detection with the growing availability of open-source and shared datasets. Recent research has focused on enhancing DP information structures to better exploit this data. This study introduces improved DP models' structure with modified the scattering vector coefficients to ensure consistency with the corresponding components of the FP system, enabling comprehensive comparison and analysis with traditional DP structure, includes theoretical and quantitative evaluations of simulated data from FP system, as well as validation using real DP scenarios. The results showed the following: (1) The polarimetric entropy

Indexed as

comparative analysisdual-polarimetric synthetic aperture radarinformation consistencymarine oil spills

Identifiers

PMID40942981

DOI10.3390/s25175551

PMCPMC12431040

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.