| 摘要 |
A method of processing an acoustic image providing the following steps: a) acquiring acoustic signals generated by acoustic sources in a predetermined region of space, b) generating a multispectral 3D acoustic image (1), consisting of a collection of 2D acoustic images, each 2D acoustic image being formed by the transposition of the position of each of the acquired acoustic sources into a grayscale or color model, each 2D acoustic image being identified by a single frequency or a frequency band, such that each 2D acoustic image has the position of each of the detected audio sources marked thereon along the axes of the coordinates of the 2D image, for spatial allocation of the acquired acoustic sources, c) performing a frequency integration of said multispectral acoustic image for generating a 2D acoustic map. The method further provides the additional following steps: d) locating at least one target acoustic source of interest and modeling the signal spectrum associated with said target acoustic source, e) generating a classification map obtained by comparing the signal spectrum of each signal associated with each pixel of said multispectral acoustic image and the model of the signal spectrum associated with said target acoustic source, said comparison being obtained by training a classification algorithm, which classification algorithm is executed for each pixel of said multispectral acoustic image, to thereby distinguish the spectrum of the signal associated with the target acoustic source from the signal spectra associated with the remaining acoustic sources, f) merging said classification map and said acoustic map to obtain a merged map. |
