摘要
不断增长的遥感影像的多样性对变化检测算法的鲁棒性和准确性提出了更高的要求,通过分析基于独立成分分析(ICA)的变化检测算法面临的在原始数据矩阵分块时数据尺寸减小,影像信息丢失的问题,提出了一种改进的利用非抽样小波变换(UDWT)的分块方法。同时,为了更好的抑制噪声对变化检测结果的影响,利用面向对象的分割方法得到遥感影像中的各个影像对象,并提取出各影像对象的特征形成特征影像代替原始的遥感影像进行变化检测。最后通过仿真比较验证了方法的准确性和鲁棒性。
Aiming at higher desire of robust and veracity brought by increasing variety of remote sensing images, by analyzing the problem that the decrease of original date＇s size and the loss of original information in the matrix＇s decomposition exist in the arithmetic, based on Independent Component Analysis （ICA, Independent Component Analysis） change detection, an improved decompose method with Undecimated Discrete Wavelet Transform （UDWT, Undecimated Discrete Wavelet Transform） was proposed. For removing the influence of the noise to detection result, the segmentation method of object-oriented was used to get the image objects, and distilled the shape character of the image objects to replace the original images. Finally, the robust and veracity of proposed method has been proved through simulation
出处
《光电工程》
CAS
CSCD
北大核心
2013年第12期39-43,共5页
Opto-Electronic Engineering
基金
陕西省自然科学基金资助项目(2012JQ8016)
