A New Algorithm for DEM Data Compression Base on Feature Points
To take full advantage of topography characteristic and improve compression ratio when compressing digital elevation model(UEM), a new compression method based on BP neural network is proposed. An extraction algorithm of feature points including terrain ridge line and valleys is given firstly. Then the BP neural network is trained to implement DEM compression by using the extracted feature points. The experimental results demonstrate the effectiveness of presented method, which can enhance DEM compression effect.
DEM feature points extraction BP neural network compression
Qi Feng Qiao Xiao
School of Electronics and Information Northwestern Polytechnical University Xian, 710072, P. R.CHINA
国际会议
西安
英文
326-329
2011-05-13（万方平台首次上网日期，不代表论文的发表时间）