An Lidar data compression method based on improved LZW and Huffman algorithm

Lidar raw echo data has characteristics such as huge data quantity, strong discreteness and unpredictability. According to the construction of Lidar monitoring network of atmospheric environment, the existing network can not provide enough bandwidth to transmit Lidar data in real time. In this paper, we propose a novel hybrid lossless compression algorithm to reduce the transmission amount, namely the probability statistics lossless compression algorithm base on the improved LZW(Lempel-Ziv-Welch), which combines Huffman coding. With experiment on the raw two-value atmospheric data, we verify the effectiveness of our approach that the compression ratio is close to 9.5:1 and the coding efficiency is up to 98%.