Will resampling affect the data itself?

Data resampling will affect the data itself. According to related content, data resampling is an image data processing method. That is, the gray processing method in the process of image data reorganization. Image sampling collects image gray values at certain intervals. When the threshold is not within the original function value of the sampling point, it is necessary to interpolate with the sampling point, which is called resampling. In digital photogrammetry and remote sensing, the actual resampling occurs in the process of image rotation, polar line queuing, digital correction and multi-image synthesis. After geometric transformations such as registration, correction and projection are carried out on different pixel coordinates, the center position of the original pixel often changes, and the row number and column number of its position in the input grid are not necessarily integers. Therefore, it is necessary to resample the input grid according to the position of each pixel on the output grid in the input grid, that is, recalculate each grid value and establish a new grid matrix. This requires image resampling after registration. When calculating between grids with different resolutions and image data, resampling is also needed. Usually, the grid size is unified to a specified resolution, that is, the position of each pixel and the number of pixels in the same area will also change. NET provides three commonly used resampling methods: nearest neighbor method, bilinear interpolation method and cubic convolution method.