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  1. National Taiwan Ocean University Research Hub

Analysis of Echo Characteristics and Image Features for Multi-Polarization Synthetic Aperture Radar

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基本資料

Project title
Analysis of Echo Characteristics and Image Features for Multi-Polarization Synthetic Aperture Radar
Code/計畫編號
MOST106-2623-E019-001-D
Translated Name/計畫中文名
多偏極合成孔徑雷達之地物回波特性與影像特徵分析
 
Project Coordinator/計畫主持人
Tzong-Dar Wu
Funding Organization/主管機關
National Science and Technology Council
 
Co-Investigator(s)/共同執行人
程光蛟
 
Department/Unit
Department of Electrical Engineering
Website
https://www.grb.gov.tw/search/planDetail?id=12083212
Year
2017
 
Start date/計畫起
01-01-2017
Expected Completion/計畫迄
01-12-2017
 
Co-Investigator(s)
Kwong-Kau Tiong
Bugetid/研究經費
670千元
 
ResearchField/研究領域
資訊科學--軟體
 

Description

Abstract
"本計劃的目標在於以多偏極合成孔徑雷達影像進行地物回波訊號之特性分析,進而發展出多偏極 微波影像特徵萃取技術,未來可提升合成孔徑雷達影像之目標辨識能力。 計劃初期將進行多偏極合成孔徑雷達影像訊號處理相關論文蒐集及探討,整理出目前最新的技術 與發展方向以供計劃參考。多偏極影像的來源將使用中科院委託單位所開發的地基合成孔徑雷達進行 成像,預計規劃出數個量測成像實驗,並評估目標物尺寸與材質、實驗波段、觀測角度、以及雷達系 統參數。此外,本計劃亦將開發多偏極合成孔徑雷達模擬器,以SBR 演算法為基礎,使用光線追跡的 幾何光學法與物理光學法等技術建立雷達影像模擬能量,並藉此評估散射機制的主要成份與強散射點 對應位置。所產生的多偏極模擬影像將與地基合成孔徑雷達實際影像比對,並且用來進行地物回波特 性分析。多偏極回波特性分析會以散射矩陣理論為基礎,探討並找出適用於目標物辨識之多偏極特徵。 最後,基於上述地物回波特性分析成果,本計劃亦將發展多偏極微波影像特徵萃取演算法。並應 用地基合成孔徑雷達實驗所得到的實際影像,驗證這套影像特徵萃取技術的正確性。計劃中所要萃取 的影像特徵將包含散射點特徵、粗糙面特徵、以及多偏極特徵。" "The objective of this project is to analyze the characteristics of the target echo by the multi-polarization synthetic aperture radar (SAR) image. In addition, the technology of image feature extraction from multi-polarization SAR will also be developed. It is expected that the proposed image features can improve the abilities of target identification and recognition from SAR. In the first stage of the project, the SAR related literatures will be collected and surveyed, which include the signal/image processing and the application fields. The advanced technologies and new developing directions will be evaluated in this stage. The SAR image source will be from the ground-based SAR experiments developed by the National Chung-Shan Institute of Science and Technology. With the evaluations of target size and material, frequency band, observation angle, and radar system parameter, several imaging experiments will be performed. Besides, in this project, the multi-polarization SAR image simulator will also developed. Based on the SBR algorithm, the SAR image simulator includes geometry optics method, which is realized by ray-tracing algorithm, and physical optics method. In the simulation, the main contribution of the scattering mechanism and the distribution of the scattering center will be evaluated and the characteristics of the target echo will be analyzed. The simulator will be validated by compared the simulated images with the true images acquired by ground-based SAR. Based on the scattering matrix theory, the analysis of the multi-polarization target echo assists in finding better multi-polarization features for the target recognition. Finally, based on the achievements of the target echo analysis, the image feature extraction algorithm for multi-polarization SAR will be developed. To validate the proposed feature extraction technique, the images of the ground-based SAR with specified targets will be used. In this project, the image features will include scattering center features, roughness surface features, and multi-polarization features."
 
Keyword(s)
地基合成孔徑雷達
合成孔徑雷達影像模擬
影像特徵萃取
ground-based Synthetic Aperture Radar
SAR image simulation
image feature extraction
 
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