Technique Based on Image Pyramid and Bayes Rule for Noise Reduction in Unsupervised Change Detection

• Published in: Shanghai jiao tong da xue xue bao Vol. 14; no. 6; pp. 659 - 663
• Main Author: 李志强 霍宏 方涛 朱巨莲 葛卫丽
• Format: Journal Article
• Language: English
• Published: Heidelberg Shanghai Jiaotong University Press 01.12.2009
• Subjects: Architecture; Computer Science; Electrical Engineering; Engineering; Life Sciences; Materials Science; 变化检测; 噪声影响; 图像处理; 图像技术; 图像金字塔; 监督; 贝叶斯规则; 降噪; image pyramid; change detection; TN 911.73; TP 391.4; change vector analysis; multitemporal images
• ISSN: 1007-1172; 1995-8188
• DOI: 10.1007/s12204-009-0659-1

In this paper, a technique based on image pyramid and Bayes rule for reducing noise effects in unsupervised change detection is proposed. By using Gaussian pyramid to process two multitemporal images respectively, two image pyramids are constructed. The difference pyramid images are obtained by point-by-point subtraction between the same level images of the two image pyramids. By resizing all difference pyramid images to the size of the original multitemporal image and then making product operator among them, a map being similar to the difference image is obtained. The difference image is generated by point-by-point subtraction between the two multitemporal images directly. At last, the Bayes rule is used to distinguish the changed pixels. Both synthetic and real data sets are used to evaluate the performance of the proposed technique. Experimental results show that the map from the proposed technique is more robust to noise than the difference image.