Fast Residential Area Extraction from Remote Sensing Image based on Log-Gabor Filter
Monitoring urbanization may help government agencies and urban region planners in updating land maps and forming long-term plans accordingly. In this paper, a novel method for fast extracting residential area from remote sensing images based on log-Gabor filter was proposed. The method is divided in three steps. Firstly, we detect the edge-oriented urban characteristics in a remote sensing image using log-Gabor filter. Secondly, with the filtering orientations perpendicular to each other, we choose two log-Gabor filter response images to suppress the noise and acquire a smooth spatial region. Thirdly, a set of smooth regions served as residential areas can be extracted using Otsus method. We tested it on diverse aerial and satellite images and encouraging results were acquired. The comparison of our method with the classical texture analyzing method of co-occurrence matrix demonstrated its superiority.
residential area extraction log-Gabor filter remote sensing images spatial resolution.
Jie Xiao Chao Cai
State key Laboratory of Coal Combustion, Huazhong University of Science and Technology，Wuhan 430074, Institute for Pattern Recognition and Artificial Intelligence, The National Lab for Multi-spectral I
国际会议
桂林
英文
1-5
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）