山东大学学报(工学版)
山東大學學報(工學版)
산동대학학보(공학판)
Journal of Shandong University (Engineering Science)
2015年
5期
29-35
,共7页
肖乔%裴继红%王荔霞%龚志成
肖喬%裴繼紅%王荔霞%龔誌成
초교%배계홍%왕려하%공지성
遥感图像%Gabor滤波器%图像增强%评价指标%模糊综合评价%融合%舰船检测
遙感圖像%Gabor濾波器%圖像增彊%評價指標%模糊綜閤評價%融閤%艦船檢測
요감도상%Gabor려파기%도상증강%평개지표%모호종합평개%융합%함선검측
remote sensing images%Gabor filters%image enhancement%evaluation index%fuzzy comprehensive evalua-tion%fusion%ship detection
针对海水背景对舰船目标检测的干扰问题,提出了1种基于多通道Gabor滤波模糊综合评价融合方法来抑制海水背景,增强舰船目标区域,并实现舰船目标的检测和提取。首先对图像进行多通道Gabor滤波,得到多幅滤波增强输出图像;其次,定义了3种滤波图像增强效果评价指标,并为输出图像建立模糊评价矩阵;再次,根据模糊评价矩阵计算出各输出图像的模糊综合评价值,并选出各通道滤波增强效果最优的输出图像,作为该通道的滤波输出显著图像;最后,通过各显著图像的模糊评价值,计算对应的融合权重,并对这些输出显著图像进行加权叠加融合,得到舰船目标融合增强图像并进行检测。实验结果表明,本研究提出的方法能够自适应选取具有较好背景抑制效果和舰船目标区域增强效果的Gabor滤波输出图像进行融合,融合后的图像能够有效增强舰船目标的显著性。与现有的基于多通道Gabor滤波的舰船目标检测方法相比较,本研究提出的舰船目标检测算法能够有效减少目标检测的虚警率,提高检测的正确率。
針對海水揹景對艦船目標檢測的榦擾問題,提齣瞭1種基于多通道Gabor濾波模糊綜閤評價融閤方法來抑製海水揹景,增彊艦船目標區域,併實現艦船目標的檢測和提取。首先對圖像進行多通道Gabor濾波,得到多幅濾波增彊輸齣圖像;其次,定義瞭3種濾波圖像增彊效果評價指標,併為輸齣圖像建立模糊評價矩陣;再次,根據模糊評價矩陣計算齣各輸齣圖像的模糊綜閤評價值,併選齣各通道濾波增彊效果最優的輸齣圖像,作為該通道的濾波輸齣顯著圖像;最後,通過各顯著圖像的模糊評價值,計算對應的融閤權重,併對這些輸齣顯著圖像進行加權疊加融閤,得到艦船目標融閤增彊圖像併進行檢測。實驗結果錶明,本研究提齣的方法能夠自適應選取具有較好揹景抑製效果和艦船目標區域增彊效果的Gabor濾波輸齣圖像進行融閤,融閤後的圖像能夠有效增彊艦船目標的顯著性。與現有的基于多通道Gabor濾波的艦船目標檢測方法相比較,本研究提齣的艦船目標檢測算法能夠有效減少目標檢測的虛警率,提高檢測的正確率。
침대해수배경대함선목표검측적간우문제,제출료1충기우다통도Gabor려파모호종합평개융합방법래억제해수배경,증강함선목표구역,병실현함선목표적검측화제취。수선대도상진행다통도Gabor려파,득도다폭려파증강수출도상;기차,정의료3충려파도상증강효과평개지표,병위수출도상건립모호평개구진;재차,근거모호평개구진계산출각수출도상적모호종합평개치,병선출각통도려파증강효과최우적수출도상,작위해통도적려파수출현저도상;최후,통과각현저도상적모호평개치,계산대응적융합권중,병대저사수출현저도상진행가권첩가융합,득도함선목표융합증강도상병진행검측。실험결과표명,본연구제출적방법능구자괄응선취구유교호배경억제효과화함선목표구역증강효과적Gabor려파수출도상진행융합,융합후적도상능구유효증강함선목표적현저성。여현유적기우다통도Gabor려파적함선목표검측방법상비교,본연구제출적함선목표검측산법능구유효감소목표검측적허경솔,제고검측적정학솔。
A scheme to sea background suppressing was proposed for ships detection in optical remote sensing images based on the fuzzy fusion of multi-channel Gabor filtering.First,a multi-channel Gabor filter was designed to give out-put image group.Second,three filtering enhancement evaluations were defined to get the fuzzy evaluation matrix. Third,the fuzzy comprehensive evaluations were calculated and the significant images were selected from filtered output images.Finally,the weights of the significant images were determined and the fused image was given by using weigh-ted sum of these significant images.Experimental results showed that the proposed ship detection algorithm based on fuzzy fusion of multi-channel Gabor filtering could efficiently improve the detection accuracy and significantly reduce false alarm rate.