Research of lossless compression on NC format data of meteorology

Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (9): 90-91.

• 数据库、信号与信息处理 • Previous Articles Next Articles

Research of lossless compression on NC format data of meteorology

GU Hong1, LI Yunying2

1.College of Computer Science & Technology, Sanjiang University, Nanjing 210012, China
2.Meteorology College, PLA University of Science & Technology, Nanjing 211101, China

Received:1900-01-01 Revised:1900-01-01 Online:2012-03-21 Published:2012-04-11

NC格式气象数据无损压缩研究

顾洪1，李昀英2

1.三江学院计算机科学与工程学院，南京 210012
2.解放军理工大学气象学院，南京 211101

Abstract

Abstract: A lostless data compression algorithm is proposed, which applies minus computation between close time span data on account of regulation, applies minus computation again between near points of the same span data, thus value 00 or FF may occur in storage as much as possible; it applies WinRAR tool to compress data lostlessly. The experimental result illustrates that this method can improve lostless compression ratio effectively.

Key words: data compression, data computation, regulation, lostless, compression ratio

摘要： 针对相邻时次气象数据的相关性，提出了在时间尺度上对相邻时次格点数据进行减运算，使数据高位尽可能出现00值或FF值，在空间尺度上对同时次相邻格点数据再进行减运算，使数据高位也尽可能出现00值或FF值，应用WinRAR无损压缩工具，实现无损压缩的算法。实验结果证实，这种压缩方法，可以有效地提高压缩比，实现气象格点数据的完全无损压缩。

关键词: 数据压缩, 数据运算, 相关性, 无损, 压缩比

GU Hong1, LI Yunying2. Research of lossless compression on NC format data of meteorology[J]. Computer Engineering and Applications, 2012, 48(9): 90-91.

顾洪1，李昀英2. NC格式气象数据无损压缩研究[J]. 计算机工程与应用, 2012, 48(9): 90-91.

[1]	DU De, GAO Baolu, TIAN Li. Terrain Compression Rendering Technology Combining Fast Layered DCT and Dynamic LOD [J]. Computer Engineering and Applications, 2020, 56(13): 223-229.
[2]	YI Chengqi1, HUANG Qianqian1, WANG Congyu2, ZHANG Hecan3, JIN Xiaokun4, WANG Jiandong1. Identification Method of “Professional Whistleblower” Based on Class Imbalance Problem [J]. Computer Engineering and Applications, 2019, 55(14): 1-7.
[3]	ZHU Li1, LI Aiping1, DUAN Liguo1, LI Xiaowei2. WSN data compression method based on spatial correlation and grey model [J]. Computer Engineering and Applications, 2018, 54(20): 87-92.
[4]	ZENG Hongjun1，2, SHEN Yanfei2, WANG Yi1. Method of face video preprocessing based on region of interest [J]. Computer Engineering and Applications, 2017, 53(6): 188-192.
[5]	WANG Haiqi1, PENG Jiaqi1, ZHANG Teng2, GUI Li1. Research on oil & gas reservoir vertical fold line segmentation and 2D & 3D visualization [J]. Computer Engineering and Applications, 2017, 53(24): 196-201.
[6]	ZHANG Zhengwei1，2, WU Lifa1, LAI Haiguang1, LI Huabo1, ZHENG Chenghui1. Reversible watermarking algorithm with IWT and general difference expansion [J]. Computer Engineering and Applications, 2016, 52(8): 84-89.
[7]	WANG Liya, ZHANG Chunying, LIU Baoxiang. Dynamic strategy regulation model of three-way decisions based on interval concept lattice and its application [J]. Computer Engineering and Applications, 2016, 52(24): 80-84.
[8]	QIU Jie, LIANG Jiuzhen. Compression and transmission of industrial floating-point data based on FPC and range encoding [J]. Computer Engineering and Applications, 2016, 52(24): 121-125.
[9]	ZENG Dangquan. Chinese text compression algorithm based on PDC coding [J]. Computer Engineering and Applications, 2015, 51(17): 205-209.
[10]	WU Haifeng1, ZHAN Wenfa2, CHENG Yifei1. Scheme of test data compression based on irrational number dictionary code [J]. Computer Engineering and Applications, 2014, 50(7): 235-237.
[11]	CHEN Qinghui1，2，CHEN Xiaosong1，HAN Deliang1. Compression algorithm LZW on Chinese text [J]. Computer Engineering and Applications, 2014, 50(3): 112-116.
[12]	SHI Jiugen, LIU Sheng. Data compression based on compressed sensing in Wireless Sensor Networks [J]. Computer Engineering and Applications, 2014, 50(10): 78-81.
[13]	LIU Jiabao, LIANG Yi, FANG Jun. Dynamic parameter control method for process data compression ratio [J]. Computer Engineering and Applications, 2013, 49(8): 138-141.
[14]	LIU Juan1, ZHAN Wenfa2. Test data compression scheme based on statistic compatibility of data blocks [J]. Computer Engineering and Applications, 2013, 49(22): 26-29.
[15]	GAO Haiyang1，2, SHEN Qiang1, ZHANG Xuanyi1, ZHAO Zhijun1. Improved Apriori based on data compression [J]. Computer Engineering and Applications, 2013, 49(14): 117-120.

Research of lossless compression on NC format data of meteorology

NC格式气象数据无损压缩研究

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics