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As buildings constitute the main component of urban areas, which can provide several kinds of information. In this paper, a building extraction method based on the high resolution remote sensing image via Gabor filter and multi-orientation π local binary pattern (LBP) operator is proposed to aim at the application requirements of rapid, accurate urban planning and visual management. At first, the multi-dimensional texture features are extracted by using Gabor filter for the original image. Further, some training samples are obtained by multi-orientation π LBP operator at different orientations. Finally, the pixel-level discrimination is conducted for texture features, and achieves the location and shape of buildings. Experimental results demonstrate that the overall extraction accuracy has reached 94%, and the extracted results coincide with the distribution of each building, the proposed method is accurate to complete the task of building extraction, and has an excellent applicability for land management.

A novel optical electric-field sensor is proposed and experimentally investigated by using single beta barium borate (β- BaB2O4, BBO) crystal. The optical sensing unit is only composed of single BBO crystal and two polarizers, the π/2 optical bias is provided by natural birefringence of the BBO crystal itself. Advantages of the BBO crystal over previous lithium niobate crystal used as electric-field sensor mainly include larger measurement sensitivity and no ferroelectric ringing effect. The 50Hz ac and lighting impulse electric fields in the range of (10~400)kV/m have been measured in experiment with good linearity and fast response. © (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.