PSO-based fine polarimetric decomposition for ship scattering characterization

IF 10.6 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL
Junpeng Wang , Sinong Quan , Shiqi Xing , Yongzhen Li , Hao Wu , Weize Meng
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Abstract

Due to the inappropriate estimation and inadequate awareness of scattering from complex substructures within ships, a reasonable, reliable, and complete interpretation tool to characterize ship scattering for polarimetric synthetic aperture radar (PolSAR) is still lacking. In this paper, a fine polarimetric decomposition with explicit physical meaning is proposed to reveal and characterize the local-structure-related scattering behaviors on ships. To this end, a nine-component decomposition scheme is first established through incorporating the rotated dihedral and planar resonator scattering models, which makes full use of polarimetric information and comprehensively considers the complex structure scattering of ships. In order to reasonably estimation the scattering components, three practical scattering dominance principles as well as an explicit objective function are raised, and a particle swarm optimization (PSO)-based model inversion strategy is subsequently presented. This not only overcomes the underdetermined problem, but also improves the scattering mechanism ambiguity by circumventing the constrained estimation order. Finally, a ship indicator by linearly combining the output scattering contribution is further derived, which constitutes a complete ship scattering interpretation approach along with the proposed decomposition. Experiments carried out with real PolSAR datasets demonstrate that the proposed method adequately and objectively describes the scatterers on ships, which provides an effective way to ship scattering characterization. Moreover, it also verifies the feasibility of fine polarimetric decomposition in a further application with the quantitative analysis of scattering components.

Abstract Image

基于pso的精细极化分解舰船散射表征
由于对船舶内部复杂子结构散射的估计不当和认识不足,偏振合成孔径雷达(PolSAR)仍然缺乏一种合理、可靠、完整的表征船舶散射的解释工具。本文提出了一种具有明确物理意义的精细极化分解方法来揭示和表征船舶上与局部结构相关的散射行为。为此,首先结合旋转二面体和平面谐振腔散射模型,充分利用极化信息,综合考虑船舶的复杂结构散射,建立了九分量分解方案。为了合理估计散射分量,提出了3种实用的散射优势原则和明确的目标函数,并提出了基于粒子群优化(PSO)的模型反演策略。这不仅克服了欠确定问题,而且通过绕过有约束的估计顺序,改善了散射机制的模糊性。最后,进一步推导出由输出散射贡献线性组合而成的舰船指标,该指标与所提出的分解方法一起构成了完整的舰船散射解释方法。实验结果表明,该方法充分、客观地描述了舰船散射体,为舰船散射表征提供了一种有效的方法。此外,通过对散射成分的定量分析,验证了精细极化分解在进一步应用中的可行性。
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来源期刊
ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing 工程技术-成像科学与照相技术
CiteScore
21.00
自引率
6.30%
发文量
273
审稿时长
40 days
期刊介绍: The ISPRS Journal of Photogrammetry and Remote Sensing (P&RS) serves as the official journal of the International Society for Photogrammetry and Remote Sensing (ISPRS). It acts as a platform for scientists and professionals worldwide who are involved in various disciplines that utilize photogrammetry, remote sensing, spatial information systems, computer vision, and related fields. The journal aims to facilitate communication and dissemination of advancements in these disciplines, while also acting as a comprehensive source of reference and archive. P&RS endeavors to publish high-quality, peer-reviewed research papers that are preferably original and have not been published before. These papers can cover scientific/research, technological development, or application/practical aspects. Additionally, the journal welcomes papers that are based on presentations from ISPRS meetings, as long as they are considered significant contributions to the aforementioned fields. In particular, P&RS encourages the submission of papers that are of broad scientific interest, showcase innovative applications (especially in emerging fields), have an interdisciplinary focus, discuss topics that have received limited attention in P&RS or related journals, or explore new directions in scientific or professional realms. It is preferred that theoretical papers include practical applications, while papers focusing on systems and applications should include a theoretical background.
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