Research on saliency detection algorithm of rural homestead
Xing Chen, Wanghu Li, Jing Gao, Deyao Zeng, Bo Wen · 2022
Uav remote sensing images have the characteristics of complex background and multiple noise interference. If significance detection is carried out before rural homestead identification, the target rural homestead can be located quickly and accurately, providing location information for the detection of rural homestead, thus improving the detection efficiency of rural homestead. In this paper, we studied four commonly used algorithms of FT, HC, LC and AC with good saliency detection effect. The experimental results show that the detection time of LC algorithm is at least 0.63 ms, and the longest time of FT algorithm is 24.46 ms. The LC algorithm is more suitable for the saliency detection of rural homestead images in this paper.