A Study on Change Detection in SAR Images using Spatial Chaotic Model

• Main Authors: Nien-Shiang Chou, 周念湘
• Other Authors: Kun-Shan Chen
• Format: Others
• Language: en_US
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/90648626432811305437

博士 === 國立中央大學 === 資訊工程研究所 === 98 === In this thesis, we propose a new change detection algorithm for SAR images using the concept of spatial chaotic model. The new method was built on the fact that the coherent SAR images can be modeled by a spatial chaotic system. The proposed method was applied to multi-temporal polarimetric SAR images for change detections. As a reference, the simple image difference (DI) technique and the principal component analysis (PCA) were compared. Also, images mis-registration effects were also tested. The proposed method (hereafter called SCM) is capable of tolerating mis-registration effect even when the signal-to-noise ratio is relatively low, as compared to both DI and PCA methods. Comparison was made on the case when the radiometric changes are subtle. It is shown that the proposed method performs very well to detect such diminutive changes without being deteriorated by the presence of speckle for which both DI and PCA fail to carry out the detection.