Issue Date: 6-7 March 2010rnrntOn page(s): rnt202rnttrn- 206rnrnrnLocation: Wuhan, ChinarnrnPrint ISBN: 978-1-4244-6388-6rnrnrnrnttrnDigital Object Identifier: href='http://dx.doi.org/10.1109/ETCS.2010.502' target='_blank'>10.1109/ETCS.2010.502 rnrnDate of Current Version: trnrnt2010-05-06 14:33:51.0rnrnt rntt class="body-text">rntname="Abstract">>Abstractrn>A novel method of automatic detection of straight lines in Synthetic Aperture Radar (SAR) images is presented in this paper. The proposed technique has been tested on a simulated SAR image, and on a real SAR image. It is based on the joint exploitation of a Wavelet Filtering Algorithm (WFA) and Hough Transform (HT) to extract geometric regular features and to detect lineame;
Hough Transform; Synthetic Aperture Radar; Wavelet Filtering; automatic detection;
机译:使用霍夫变换初始化的距离正则化水平集演化自动检测凳子显微图像中的寄生虫
机译:通过迭代随机霍夫变换在超声图像中自动进行胎儿头部检测和测量。
机译:基于图像谱滤波和Hough变换的航海雷达杂波抑制和小目标检测
机译:利用小波滤波和霍夫变换的SAR图像自动检测
机译:小波变换域中的非线性图像滤波。
机译:利用离散小波变换和球面小波变换特征自动诊断乳腺X线照片
机译:无均匀路面图像背景为自动路面遇险识别的多尺度小波变换滤波