Change detection in multi-temporal remote sensing images based on the wavelet-domain immune clonal optimazition

被引：3
作者：
机构：
[1] Ministry of Education Key Lab. of Intelligent Perception and Image Understanding, Xidian Univ.
[2] Xi'an Institute of Microelectronics Technology
来源：
Wang, L. (wanglingxia@163.com) | 1600年 / Science Press卷 / 40期
关键词：
Change detection; Immune clonal algorithm; Wavelet transform;
D O I：
10.3969/j.issn.1001-2400.2013.04.018
中图分类号：
学科分类号：
摘要：
In order to reduce the impact of noises on detection accuracy in change detection for remote sensing images, a novel change detection method is proposed based on the immune clone algorithm and wavelet transform. Firstly, the multi-scale and low-pass smoothing characteristics of wavelet transform are utilized to construct multi-layered difference images. Secondly the time domain deviations caused by operation of zero insertion and image convolution in wavelet transform are corrected by the immune clonal algorithm that the initial segmentation results obtained using the Rayleigh-Gauss model are matched by the secondary linear interpolation operation. Finally, the change detection is accomplished by image fusion. Simulation results show that the algorithm can not only reduce the image noises, but also suppress the image deviations caused by wavelet transform effectively. The accuracy of change detection is improved significantly.
引用
收藏
页码：108 / 113
页数：5
相关论文
共 13 条
  • [1] Singh A., Digtial change detection techniques using remotely-sensed data, Int J Remote Sens, 10, 6, pp. 989-1003, (1989)
  • [2] Xin F., Jiao L., Wang G., Et al., Change detection in multi-temporal remote sensing images based on the wavelet-domain hidden markov chain model, Journal of Xidian University, 39, 3, pp. 43-49, (2012)
  • [3] Celik T., Ma K.K., Unsupervised change detection for satellite images using dual-tree complex wavelet transform, IEEE Trans on Geosci Remote Sens, 48, 3, pp. 1199-2010, (2010)
  • [4] Wang G., Wang Y., Jiao L., Adaptive spatial neighborhood analysis and Rayleigh-Gaussian distribution fitting for change detection in multi-temporal remote sensing images, Journal of Remote Sensing, 13, 4, pp. 639-646, (2009)
  • [5] Bruzzone L., Automatic analysis of the difference image for unsupervised change detection, IEEE Trans on Image Proc, 38, 3, pp. 1171-1182, (2000)
  • [6] Bazi Y., Bruzzone L., Farid M., An unsupervised approach based on the generalized Gaussian model to automatic change detection in multi-temporal SAR images, IEEE Trans on Geosci Remote Sens, 43, 4, pp. 874-886, (2005)
  • [7] Kasetkasem K., Varshney P., An image change detection algorithm based on Markov random field models, IEEE Trans on Geosci Remote Sens, 40, 8, pp. 1815-1823, (2002)
  • [8] Li W., Yang X., Shi G., Et al., Image denoising method using wavelet based on the multiscale geometrical directional windows, Journal of Xidian University, 33, 5, pp. 682-686, (2006)
  • [9] Bovolo F., Bruzzone L., A detail-preserving scale-driven approach to change detection in multitemporal SAR images, IEEE Trans on Geosci Remote Sens, 43, 12, pp. 2963-2972, (2005)
  • [10] Yang J., Xia S., Xu G., Et al., Frequency aliasing of wavelet fast algorithm and a fast algorithm improved, Journal of Harbin Institute of Technology, 31, 2, pp. 61-64, (1999)
12