CAJ | 학술논문

SAR图像存在动态范围小、对比度差和细节信息不清晰等质量问题，制约了SAR图像的信息获取能力。针对这一问题，提出自适应越渡点的SAR图像模糊对比度增强算法。该算法分析了经典模糊增强方法的局限性，利用SAR图像灰度直方图的分布特性来计算自适应越渡点和模糊对比度增强操作数，实现了SAR图像的自适应对比度增强处理。采用多组实测数据验证该算法，用客观指标评估了增强性能。
SAR도상존재동태범위소、대비도차화세절신식불청석등질량문제，제약료SAR도상적신식획취능력。침대저일문제，제출자괄응월도점적SAR도상모호대비도증강산법。해산법분석료경전모호증강방법적국한성，이용SAR도상회도직방도적분포특성래계산자괄응월도점화모호대비도증강조작수，실현료SAR도상적자괄응대비도증강처리。채용다조실측수거험증해산법，용객관지표평고료증강성능。
SAR image always has small dynamic range, low contrast and details are presented in a very low luminance region, which limits the further processing of SAR image. Thus a new fuzzy image contrast enhancement method based on adaptive crossover point is presented. It analyzes the limits of the classical fuzzy enhance method, and proposes the adaptive crossover point and the new enhancement operator to make it adaptive for SAR image by using the features of the image’s histogram. The performances of the method are assessed by a series of experiments.