A fusion imaging method based on amplitude compensation and correction for building layout

Building layout surround-view imaging technology can obtain the internal information of the buildings, which has been widely used in the field of the anti-terrorism and combat. The problems of amplitude attenuation, wall widening, position offset, and multipath ghosts caused by the echoes in the process of penetrating between the building walls will bring the great inconvenience to the reconstruction of the building layouts. In this paper, a fusion imaging algorithm based on the amplitude compensation and correction for the building layout is proposed. First, after obtaining as many and accurate wall positions and wall lengths as possible through wall detection, the original image is segmented and then traversed through the adaptive thresholds. Besides, combined with the gray-scale linear method, the sub-images are enhanced, the clutter is suppressed, and its position has been corrected. Finally, the images obtained from multiple perspectives are fused to obtain the complete building layout image. Simulation results show that the proposed method can effectively compensate the attenuation, correct the wall position, suppress the multipath ghosts, and then finally obtain the high-quality and high-precision building layout image.