基于Python的多波束测深数据压缩研究  

Research on Multi-beam Bathymetric Data Compression Based on Python

作　　者：张明希 许捍卫[1] 于艳超[1] 俞礼彬 

机构地区：[1]河海大学地球科学与工程学院,江苏南京210098

出　　处：《地理空间信息》2014年第4期117-119,11,共3页Geospatial Information

基　　金：国家自然科学基金资助项目(41101374)

摘　　要：在曲线数据压缩的垂距限差法基础上,引入总体最小二乘算法对多波束测深的ping条带数据进行压缩,利用Python工具库实现总体最小二乘压缩算法并集成到ArcToolbox中。与传统道格拉斯-普克压缩算法具有接近的压缩比,但精度更高,能够在整体上更好地表示原始数据。Based on the vertical distance tolerance method,curve data compression introduced Total Least Squares algorithm for thinning the strand of ping of multi-beam sounding data using Python tools library, implementing the algorithm and integrating into the ArcToolbox. Comparing with the conventional Douglas Peucker algorithm, the compression ratio is close to the latter, but with a higher compression precision, and can better represent the overall original data and also be applied to other massive data handling.

关 键 词：多波束数据 抽稀 总体最小二乘 PYTHON 

分 类 号：P229.3[天文地球—大地测量学与测量工程]