光学精密工程
光學精密工程
광학정밀공정
OPTICS AND PRECISION ENGINEERING
2010年
3期
692-700
,共9页
卜彦龙%李洪俊%张国忠%沈林成%潘亮
蔔彥龍%李洪俊%張國忠%瀋林成%潘亮
복언룡%리홍준%장국충%침림성%반량
合成孔径雷达%匹配辅助导航%景象区域适配性%多目标遗传优化
閤成孔徑雷達%匹配輔助導航%景象區域適配性%多目標遺傳優化
합성공경뢰체%필배보조도항%경상구역괄배성%다목표유전우화
Synthetic Aperture Radar(SAR)%image matching aided navigation%matching-area suitability%multi-objective genetic optimizing
对合成孔径雷达(SAR)景象匹配辅助组合导航的关键技术之一--SAR景象区域适配性进行了分析.结合SAR成像过程、组合导航过程及SAR图像的特点对SAR景象区域适配性问题进行了综合描述;围绕减小几何畸变和提高匹配概率两个目标剖析SAR景象区域适配性的影响要素,包括基本约束条件、适配性特征指标和预测函数构建等.在此基础上,以限制几何畸变,优化图像特征为原则构建了基于多目标遗传优化的SAR景象适配区选择模型.基于真实SAR图像进行的实验表明,根据模型选出的最佳适配区匹配概率达到94%,验证了分析和建模的合理性.该结论可为选择高性能的SAR景象适配区提供参考.
對閤成孔徑雷達(SAR)景象匹配輔助組閤導航的關鍵技術之一--SAR景象區域適配性進行瞭分析.結閤SAR成像過程、組閤導航過程及SAR圖像的特點對SAR景象區域適配性問題進行瞭綜閤描述;圍繞減小幾何畸變和提高匹配概率兩箇目標剖析SAR景象區域適配性的影響要素,包括基本約束條件、適配性特徵指標和預測函數構建等.在此基礎上,以限製幾何畸變,優化圖像特徵為原則構建瞭基于多目標遺傳優化的SAR景象適配區選擇模型.基于真實SAR圖像進行的實驗錶明,根據模型選齣的最佳適配區匹配概率達到94%,驗證瞭分析和建模的閤理性.該結論可為選擇高性能的SAR景象適配區提供參攷.
대합성공경뢰체(SAR)경상필배보조조합도항적관건기술지일--SAR경상구역괄배성진행료분석.결합SAR성상과정、조합도항과정급SAR도상적특점대SAR경상구역괄배성문제진행료종합묘술;위요감소궤하기변화제고필배개솔량개목표부석SAR경상구역괄배성적영향요소,포괄기본약속조건、괄배성특정지표화예측함수구건등.재차기출상,이한제궤하기변,우화도상특정위원칙구건료기우다목표유전우화적SAR경상괄배구선택모형.기우진실SAR도상진행적실험표명,근거모형선출적최가괄배구필배개솔체도94%,험증료분석화건모적합이성.해결론가위선택고성능적SAR경상괄배구제공삼고.
Matching-area suitability for Synthetic Aperture Radar(SAR) images, one of the key technologies of scene matching aided navigation, was studied in this paper. The problem of SAR matching-area suitability was described combined with SAR imaging process, integrated navigation course and SAR image characters. Then, for decreasing geometric distortion and improving matching probability, several effect factors on matching-area suitability were analyzed, including constraint conditions in application, construction of feature criterions and predicting functions. Furthermore, a multi-objective genetic optimizing model based on SAR matching-area selection was proposed to decrease geometric distortion and optimize image features. Experimental result shows that the matching probability of the best matching area selected is 94%, which proves the rationality of the analysis and model. The proposed method can provide a reference for choosing good SAR matching areas.