摘要
重采样是对遥感图像进行处理的一个重要处理过程。为了保证遥感影像的清晰度、真实度,还有就是图像处理的时间效率,就要选择合适而且正确的方法来处理影像数据,这种选择是非常有实际意义的。本文采用最邻近插值法和双线性插值法这两种重采样方法对图像进行旋转、缩放,并对处理结果进行了对比分析。结果可知:最邻近法速度快,双线性次于它,但是双线性法得出的效果优于最邻近法。所以在选择合适的重采样方法的时候,要综合考虑耗时、产品的效果,从而选择合适的重采样方法。
Resampling is an important process of remote sensing image processing. In order to ensure the clarity and authenticity of remote sensing images, as well as the time efficiency of image processing, it is necessary to choose appropriate and correct methods to process image data, which is of great practical significance. In this paper, two resampling methods, the nearest interpolation method and the bilinear interpolation method, are used to rotate and scale the image, and the processing results are compared and analyzed. The results show that the nearest neighbor method is faster and bilinear than the nearest neighbor method, but the result of bilinear method is better than the nearest neighbor method. Therefore, when selecting an appropriate resampling method, it is necessary to comprehensively consider the time consumption and product effect, so as to select an appropriate resampling method.
作者
王枭轩
左小清
杨泽楠
WANG Xiao-xuan;ZUO Xiao-qing;YANG Ze-nan(.School of land and resources engineering,Kunming University of Science and Technology,Kunming 650093,China)
出处
《软件》
2019年第7期42-46,共5页
Software
基金
云南省高校工程研究中心资助项目
关键词
重采样
最邻近插值法
双线性插值法
三次卷积插值
Resampling
Nearest interpolation method
Bilinear interpolation
Cubic convolution interpolation
