A building extraction method via Gabor filter and multi-orientation π local binary pattern operator

Xiaoli Shen; Mingwei Wang; Kangbo Peng; Shuai Xiong

doi:10.1117/12.2589349

27 January 2021 A building extraction method via Gabor filter and multi-orientation π local binary pattern operator

Xiaoli Shen, Mingwei Wang, Kangbo Peng, Shuai Xiong

Proceedings Volume 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020); 117201W (2021) https://doi.org/10.1117/12.2589349
Event: Twelfth International Conference on Graphics and Image Processing, 2020, Xi'an, China

Abstract

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.

Citation Download Citation

Xiaoli Shen, Mingwei Wang, Kangbo Peng, and Shuai Xiong "A building extraction method via Gabor filter and multi-orientation π local binary pattern operator", Proc. SPIE 11720, Twelfth International Conference on Graphics and Image Processing (ICGIP 2020), 117201W (27 January 2021); https://doi.org/10.1117/12.2589349

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