光电工程
光電工程
광전공정
OPTO-ELECTRONIC ENGINEERING
2010年
1期
145-150
,共6页
精确配准%高分辨%局部变换函数%邻域重构%合成孔径雷达(SAR)图像
精確配準%高分辨%跼部變換函數%鄰域重構%閤成孔徑雷達(SAR)圖像
정학배준%고분변%국부변환함수%린역중구%합성공경뢰체(SAR)도상
accurate registration%high resolution%local transformation function%neighborhood reconstruction%synthetic aperture radar (SAR) image
合成孔径雷达(SAR)的成像过程使其高分辨图像的几何形变呈现局部性.针对高分辨SAR图像精确配准问题,本文提出一种基于邻域重构模型的局部转换函数.邻域重构模型首先采用重构系数刻画参考图像中每个像素点的几何位置;接着给出了一种重构控制点的选择标准使每个像素的配准误差达到最小;最后根据重构系数及控制点坐标对输入图像进行再抽样以实现配准.与经典分片线性映射相比,该模型从理论上给出了一种区域剖分准则:对于每个像素选取能使配准误差能达到最小的控制点作为重构控制点.对模拟数据和真实SAR图像进行了试验,结果表明,该模型能有效地提高配准精度.
閤成孔徑雷達(SAR)的成像過程使其高分辨圖像的幾何形變呈現跼部性.針對高分辨SAR圖像精確配準問題,本文提齣一種基于鄰域重構模型的跼部轉換函數.鄰域重構模型首先採用重構繫數刻畫參攷圖像中每箇像素點的幾何位置;接著給齣瞭一種重構控製點的選擇標準使每箇像素的配準誤差達到最小;最後根據重構繫數及控製點坐標對輸入圖像進行再抽樣以實現配準.與經典分片線性映射相比,該模型從理論上給齣瞭一種區域剖分準則:對于每箇像素選取能使配準誤差能達到最小的控製點作為重構控製點.對模擬數據和真實SAR圖像進行瞭試驗,結果錶明,該模型能有效地提高配準精度.
합성공경뢰체(SAR)적성상과정사기고분변도상적궤하형변정현국부성.침대고분변SAR도상정학배준문제,본문제출일충기우린역중구모형적국부전환함수.린역중구모형수선채용중구계수각화삼고도상중매개상소점적궤하위치;접착급출료일충중구공제점적선택표준사매개상소적배준오차체도최소;최후근거중구계수급공제점좌표대수입도상진행재추양이실현배준.여경전분편선성영사상비,해모형종이론상급출료일충구역부분준칙:대우매개상소선취능사배준오차능체도최소적공제점작위중구공제점.대모의수거화진실SAR도상진행료시험,결과표명,해모형능유효지제고배준정도.
For the accurate registration of high resolution Synthetic Aperture Radar (SAR) images, local transformation functions are preferable to global ones. In this paper, a local mapping model, namely neighborhood reconstruction model, was presented to fit the geometric distortions in SAR image registration. First, each point in the reference image was characterized by the neighboring Control Points (CP) with reconstruction weights. Then, a criterion for neighboring CP selection was proposed to minimize registration error at each point. Finally, the associated point in the sensed .image was resampled according to the geometric distortions and the reconstruction weights. The theoretical support from neighborhood reconstruction model to the classical piecewise linear approach was also presented. Experiments on both simulation data and real high resolution SAR images show that the registration accuracy is improved.