【摘要】 随着遥感影像空间分辨率的不断提高,由于阴影导致的弱边缘及虚假边缘等对于准确定位对象边缘所造成的干扰也更加突出。在传统的影像分割中进一步引入阴影补偿策略,在之前所提出的WJSEG算法基础上,通过将阴影视为出界点并利用卡方变换进行阴影识别,提出了一种结合阴影补偿的城市场景高分辨率遥感影像分割算法SWJSEG。实验表明,该方法能够有效应对阴影造成的干扰,有助于更加准确地定位对象边缘,使影像分割的精度及可靠性显著提高。更多还原

【Abstract】 With the continuous improvement of the spatial resolution of remote sensing image,the interference of weak edges and false edges caused by the shadow to accurate extraction of the object outlines has been moreprotruding.Therefore,this paper introduces a shadow compensation strategy into image segmentation to propose a high resolution remote sensing image segmentation algorithm SWJSEG for urban scenes based on the previously proposed WJSEG algorithm.Firstly,the shadow is regarded as the point out of bounds to get the mean value and covariance matrix through the iterative strategy to realize the shadow detection and compensation based on Chi-square transformation.On this basis,the multi-scale segmentation algorithm WJSEG is adopted to obtain the final segmentation result.The experimental results show that this method proposed in this papercan effectively deal with the interference caused by the shadow and improve the accuracy and reliability of image segmentation.更多还原