On the application of a spatial chaotic model for detecting landcover changes in synthetic aperture radar images

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Computer Science and Information Engineering > journal & Dissertation > Item 987654321/29128

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29128

Title:	On the application of a spatial chaotic model for detecting landcover changes in synthetic aperture radar images
Authors:	Chou,NS;Tzeng,YC;Chen,KS;Wang,CT;Fan,KC
Contributors:	資訊工程研究所
Keywords:	UNSUPERVISED CHANGE DETECTION;MULTITEMPORAL SAR IMAGES;MISREGISTRATION;NOISE
Date:	2009
Issue Date:	2010-06-29 20:14:23 (UTC+8)
Publisher:	中央大學
Abstract:	We present a change detection method for terrain covers from multi-temporal SAR images based on a spatial chaotic model which is known to adequately characterize the coherent process of SAR imaging. The major problem of SAR change detection rises from both the presence of speckle noise and the pixel mis-registration that are commonly seen in the remote sensing image. By means of chaotic model, we first transform the images to fractal domain and then perform the CFAR detection. Simulated tests are conducted to quantitatively evaluate the impacts of these two major error sources on detection rate. Results from satellite SAR for landcover change detection clearly show that the proposed algorithm not only the speckle noise can be effectively suppressed without scarifying the spatial resolution; the excruciating mis-registration error was taken into account and removed.
Relation:	JOURNAL OF APPLIED REMOTE SENSING
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] journal & Dissertation

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