CAJ | 학술논문

提出一种新的模糊贴近度差异图，并基于主动轮廓模型完成了两时相 SAR图像水灾变化检测。所提方法克服了上下文不敏感方法假设的类统计分布模型与实际的两者之间的拟合度对变化检测性能的影响，突破了上下文敏感方法只参考固定形状和大小的紧凑邻域内信息的限制，利用无固定形状和大小的非紧凑邻域内信息，提高了变化检测性能并改善了视觉效果。两组实测 SAR图像数据集的变化检测实验结果均表明，所提方法的变化检测性能优于其他相关方法的。
제출일충신적모호첩근도차이도，병기우주동륜곽모형완성료량시상 SAR도상수재변화검측。소제방법극복료상하문불민감방법가설적류통계분포모형여실제적량자지간적의합도대변화검측성능적영향，돌파료상하문민감방법지삼고고정형상화대소적긴주린역내신식적한제，이용무고정형상화대소적비긴주린역내신식，제고료변화검측성능병개선료시각효과。량조실측 SAR도상수거집적변화검측실험결과균표명，소제방법적변화검측성능우우기타상관방법적。
A new fuzzy neartude difference image is proposed.With active contour model(ACM),flood change detection for bi-temporal SAR images is performed.The proposed method overcomes the influence on the change detection performance of the goodness-of-fit between the distribution model which the context-sensitive methods always need and the true one,and also breaks the limitation that the context-sensitive method only uses the information in a fixed size and shape neighborhood.By use of the information in a non-compact region,the proposed method improves the change detection performance and the visual effect.The experiment results on two real SAR data sets show that our proposed method is superior over other related techniques.