摘要
阴影是遥感图像的解译标志之一,然而在利用高分辨率遥感图像对城市建筑物进行变化检测时,阴影的存在会对变化检测结果造成不利的影响。为此,提出一种顾及阴影信息的遥感图像变化检测方法。首先对遥感图像中的阴影进行提取,然后用提取的阴影补偿初始的变化检测结果以提高变化检测精度。该方法的关键在于阴影提取的准确性。在面向对象分类方法的框架下,从阴影的光谱信息和几何信息2个方面对阴影进行约束,从而较好地提取出阴影。实验证明,上述方法能够较好地解决阴影所引起的变化检测中的错判问题,有效地提高遥感图像变化检测的精度。
Shadow is one of the interpretation keys disadvantageous effect on building change detection. to remote sensing images; nevertheless, shadow brings about The authors therefore deal with the problem of the removal of the error change detection results caused by shadow. The change detection method taking shadow information into account was proposed in this paper. First of all, the shadow was extracted from the image. Secondly, the shadow extracted was used to remove errors in initial change detection results. Finally, the better change detection results could be obtained. In the above process, the accuracy of shadow extraction is the key point. Through an analysis of shadow spectral information and geometry information, the authors made use of object oriented image classification to extract the shadow. The experimental results show that the method proposed in this paper can solve the problem of error detection caused by shadow and improve the accuracy of image change detection effectively.
出处
《国土资源遥感》
CSCD
北大核心
2013年第4期16-21,共6页
Remote Sensing for Land & Resources
关键词
图像变化检测
阴影提取
图像分割
光谱信息
几何信息
image change detection
shadow extraction
image segmentation
spectral information
geometric in- formation
