摘要
不透水面指数可以有效提取不透水面信息,反映城市硬化地表的覆盖度,但不能直接表征地表覆盖度的复杂度,而遥感图像信息容量是一种可以表征地表景观复杂度的指标.该文结合二者各自特点,计算出遥感图像信息容量和不透水面指数,对二者进行耦合分析,发现不同波段的信息容量与城市不透水面指数均方差的相关系数均高于0.8,二者关系密切,说明信息容量可以表征城市不透水面的变化,进一步研究还发现,信息容量值的大小与城市化进程较为一致.
Impervious surface index effectively extracts impervious surface information and reflect the urban impervious surface coverage, while fails to directly characterize the complexity of surface cover coverage. However, information capacity of remote sensing image is an index to characterize the surface landscape complexity. This paper calculated the information capacity of remote sensing image and impervious surface index with their respective characteristics combined, and coupling analysis was made, The correlation coefficients between the information capacity of different bands and the mean square error of impervious surface index were found higher than 0.8 and their relationship was close, which indicated that the information capacity was able to be a characterization of urban impervious surface change. Furthermore, the value of information capacity was consistent with the process of urbanization.
出处
《华中师范大学学报(自然科学版)》
CAS
北大核心
2015年第4期608-614,共7页
Journal of Central China Normal University:Natural Sciences
基金
国家自然科学基金项目(41071271)
陕西省自然科学基础研究计划项目(2015JM4132)
关键词
遥感图像
信息容量
不透水面指数
remote sensing image
information capacity
impervious surface index