Target Detection in SAR Image Based-on Wavelet Transform and Fractal Feature

Abstract

This paper introduces a small target detection algorithm combined with wavelet transform and high-order fractal feature for SAR image. The new algorithm is composed of three steps :(1) decompose the original image using wavelet transform and (2) extract the wavelet coefficients in low frequency and calculate its high-order fractal parameter to judge the target region, and (3) inverse wavelet transform to obtain the result image. Results are presented for two fractal methods (highorder fractal feature and fitting error).Our analyses show that the effect of using high-order fractal feature is better than fitting error. Based on the experiment result available to us, the small target is detected exactly from the SAR image.

Detection of Group of Targets Using High Resolution Satellite SAR and EO Images

“…SAR 영상을 이용한 표적 검출 기법에는 Constant False Alarm Rate (CFAR, Novak et al, 1997), Wavelet Transform (Chen and Li, 2009) 등이 있다. 이 중 CFAR는 주변에 비 해 매우 높은 밝기 값을 갖는 화소를 검출하는 방법으 로, 구조가 비교적 간단하여 가장 널리 쓰이고 있다 (Novak et al, 1997).…”