## Raster Mosaic ## ### Summary ### **Raster Mosaic** refers to the technical process of merging two or more images to one image. LiDAR360 provides seven sampling methods: **Nearest Neighbour**, **Bilinear**, **Cubic**, **CubicSpline**, **Lanczos**, **Average**, and **Mode**. It is the reverse operation of [Raster Subdivision](RasterSubdivision.md). ### Usage ### Click *Data Management > Raster Tools > Raster Mosaic*
Lidar360 RasterMosaic
### Settings ### - **Input Tiff File**: Users can select multiple files (>1) to be processed from the drop-down list. - **Lidar360 DataAdd**: Users can add multiple external images for image mosaic. - **Lidar360 DataDelete**: Users can select a file in the list and click this button to remove the file from the list. - **Lidar360 DataAdd**: Click this button to clear all images in the list. - **Sample Type**: Users need to select the sampling type from the drop-down list. - **NearestNeighbour (default)**: Nearest neighbor, sampled from the nearest neighbor. - **Bilinear**: Bilinear sampling (2 x 2 cores). - **Cubic**: Cubic convolution approximation (4 x 4 kernels). - **CubicSpline**: Cubic B-spline approximation (4×4 kernel). - **Lanczos**: Lanczos Window Sine Interpolation (6×6 Cores). Lanczos can be used as a low pass filter or to smoothly interpolate the value of a digital signal between its samples. - **Average**: Calculate the average of all non-value pixels. - **Mode**: Select the most frequently occurring value for all sampling points. - **Output path**: Path of the output folder. After the function is executed, a new file will be generated.