水稻遥感估产信息系统中数据压缩方法的研究

Study on data compression in remote sensing estimating rice yield information system.

水稻遥感估产信息系统拥有包括地理坐标数据、各种光谱数据在内的各种数据,作者提出了对二维地理空间进行编码,由一个编码代替两个地理坐标,从而实现对地理坐标数据的压缩,其压缩率为1:2。文中还针对土壤光谱特点,利用实验室标准土壤光谱与实际土壤光谱之间的关系,提出了土壤光谱回归压缩方法,将每条土壤光谱曲线,压缩为2个回归系数。

There are a lot of data,including geographical coordinates,spectrum data,in remote sensing estimating rice yield information system. How to compress these data,to reduce the store space is followed with interest in the system. A compressed method which compresses two geographical coordinates into one two-dimension (2-D) encoding number was discussed in this paper. Based on the spectrum characteristics of soil and the relationship between soil spectrum in field and standard soil spectrum in laboratory, the regression method compressing soil spectrum data was also put forward in this paper. Each soil spectrum curve will be compressed into two regression coefficients by this method. The regression method has good data compression ability.