A fusion method of marine sub-bottom acoustic spatial data based on features and applications
REN Shao-hua;JIANG Xiao-jun;Zhejiang Surveying Institute of Estuary and Coast;
Aiming at the inefficient data management and data mining difficulties in marine sub-bottom acoustic exploration,a data fusion method based on the features and applications was proposed in the paper. Marine sub-bottom acoustic exploring data was integrated firstly based on the themes. Then according to the relevant features and applications,the integrated data was fused,and finally implemented the efficient application-oriented data management and data mining. Moreover,the evaluation methods for the proposed models were put forward. The result showed that this approach could promote the efficiency of data management and data mining in marine sub-bottom acoustic exploration areas.
【CateGory Index】： P229