Contents
How to mask the source of pixels in a mosaic?
The mosaic () method composites overlapping images according to their order in the collection (last on top). To control the source of pixels in a mosaic (or a composite), use image masks. For example, the following uses thresholds on spectral indices to mask the image data in a mosaic:
What are the pixel values of a double image?
If the data type of the input image I is double, single, or logical, then the output pixel values are identical to the input pixel values. Note Many MATLAB ®functions expect pixel values to be in the range [0, 1] for truecolor images of data type single or double.
How does im2double convert image to double precision?
If the Parallel Computing Toolbox is installed, then I can be a gpuArray and im2double converts I on a GPU. If the data type of the input image I is double, single, or logical, then the output pixel values are identical to the input pixel values.
When do you use mosaic for raster data?
The target raster must be an existing raster dataset, which can be an empty raster dataset or one already containing data. Mosaic is useful when two or more adjacent raster datasets need to be merged into one entity. Some mosaic techniques can help minimize the abrupt changes along the boundaries of the overlapping rasters.
How to map an imagecollection in Google Earth?
For example: // Load a Landsat 8 collection for a single path-row. // the solar elevation > 40 degrees. Otherwise it returns a zero image. // Map the function over the collection, convert to a List and print the result.
How does qualitymosaic work in Google Earth?
The qualityMosaic () method sets each pixel in the composite based on which image in the collection has a maximum value for the specified band. For example, the following code demonstrates making a greenest pixel composite and a recent value composite: // This function masks clouds in Landsat 8 imagery.
Why do I get error when mosaicing two images?
EDIT After trying further, I am now getting a similar error while mosaicing two images (this time from Landsat 5) and then returning the mosaic. Code is below: