A regular grid-based Hough transform for the extraction of urban features using high-resolution satellite images

作者：Yeom Junho; Kim Yongil

来源：Remote Sensing Letters, 2015, 6(5): 409-417.

DOI：10.1080/2150704X.2015.1040129

The Hough transform (HT) is a widely used line extraction method to detect the boundary of urban features. However, the HT has some problems, such as high computational costs and omissions of lines in remote sensing images. In this study, a robust and improved Hough line extraction method, which uses a regular grid and adjacent information from the base grid cell and its neighbouring grid cells, is proposed. The proposed method efficiently delineates the lines of urban features, without any line omissions. The regular grid aids the direct determination of the location and size of the transform region and decreases the computational cost. In addition, the adjacent information is useful for line connections and removes the need for complicated geometric factors. The proposed regular grid-based Hough transform (RGHT) was compared with the standard Hough transform (SHT). The results showed that the proposed method extracted evenly distributed lines over the entire image at a low computational cost. Furthermore, the proposed method extracted rectangular and curved lines of buildings and roads sites better than the SHT method, without omitting portions of the urban features.

• 出版日期2015-5-4